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ORCIDQuan Zou 0001
邹权
Person information
- unicode name: 邹权
- affiliation: University of Electronic Science and Technology of China
- affiliation: Tianjin University, School of Computer Science and Technology, China
- affiliation: Xiamen University, School of Information Science and Technology, China
- affiliation (PhD 2009): Harbin Institute of Technology, School of Computer Science and Technology, China
Other persons with the same name
- Quan Zou — disambiguation page
- Quan Zou 0002
![[0000-0001-8920-6395]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0001-8920-6395")
— United Health Group, Minnetonka, MN, USA (and 2 more) - Quan Zou 0003 — Southwest University, School of Computer Information and science, Centre for Research and Innovation in Software Engineering, Chongqing, China (and 1 more)
- Quan Zou 0004 — Nanjing University of Science and Technology, School of Mechanical Engineering, China
- Quan Zou 0005 — Chinese Academy of Sciences, Institute of High Energy Physics, Beijing, China
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Journal Articles
- 2025
[j202]Mengting Niu, Yaojia Chen, Chunyu Wang, Quan Zou, Lei Xu:
Computational approaches for circRNA-disease association prediction: a review. Frontiers Comput. Sci. 19(4): 194904 (2025)- 2024
- [j201]Shahid Akbar, Quan Zou, Ali Raza, Fawaz Khaled Alarfaj:
iAFPs-Mv-BiTCN: Predicting antifungal peptides using self-attention transformer embedding and transform evolutionary based multi-view features with bidirectional temporal convolutional networks. Artif. Intell. Medicine 151: 102860 (2024) - [j200]Jici Jiang, Hongdi Pei, Jiayu Li, Mingxin Li, Quan Zou, Zhibin Lv:
FEOpti-ACVP: identification of novel anti-coronavirus peptide sequences based on feature engineering and optimization. Briefings Bioinform. 25(2) (2024) - [j199]Mengting Niu, Chunyu Wang, Yaojia Chen, Quan Zou, Lei Xu:
Identification, characterization and expression analysis of circRNA encoded by SARS-CoV-1 and SARS-CoV-2. Briefings Bioinform. 25(2) (2024) - [j198]Limuxuan He, Quan Zou, Qi Dai, Shuang Cheng, Yansu Wang:
Adversarial regularized autoencoder graph neural network for microbe-disease associations prediction. Briefings Bioinform. 25(6) (2024) - [j197]Tianxiang Liu, Cangzhi Jia, Yue Bi, Xudong Guo, Quan Zou, Fuyi Li:
scDFN: enhancing single-cell RNA-seq clustering with deep fusion networks. Briefings Bioinform. 25(6) (2024) - [j196]Yetong Zhou, Shengming Zhou, Yue Bi, Quan Zou, Cangzhi Jia:
A two-task predictor for discovering phase separation proteins and their undergoing mechanism. Briefings Bioinform. 25(6) (2024) - [j195]Pinglu Zhang, Huan Liu, Yanming Wei, Yixiao Zhai, Qinzhong Tian, Quan Zou:
FMAlign2: a novel fast multiple nucleotide sequence alignment method for ultralong datasets. Bioinform. 40(1) (2024) - [j194]Shahid Akbar, Ali Raza, Quan Zou:
Deepstacked-AVPs: predicting antiviral peptides using tri-segment evolutionary profile and word embedding based multi-perspective features with deep stacking model. BMC Bioinform. 25(1): 102 (2024) - [j193]Gul Rukh, Shahid Akbar, Gauhar Rehman, Fawaz Khaled Alarfaj, Quan Zou:
StackedEnC-AOP: prediction of antioxidant proteins using transform evolutionary and sequential features based multi-scale vector with stacked ensemble learning. BMC Bioinform. 25(1): 256 (2024) - [j192]Yizheng Wang, Xin Zhang, Ying Ju, Qing Liu, Quan Zou, Yazhou Zhang, Yijie Ding, Ying Zhang:
Identification of human microRNA-disease association via low-rank approximation-based link propagation and multiple kernel learning. Frontiers Comput. Sci. 18(2): 182903 (2024) - [j191]Zhen Li, Qingquan Liao, Wenbin Liu, Peng Xu, Linlin Zhuo, Xiangzheng Fu, Quan Zou:
Multi-source data integration for explainable miRNA-driven drug discovery. Future Gener. Comput. Syst. 160: 109-119 (2024) - [j190]Junkai Liu, Fuyuan Hu, Quan Zou, Prayag Tiwari, Hongjie Wu, Yijie Ding:
Drug repositioning by multi-aspect heterogeneous graph contrastive learning and positive-fusion negative sampling strategy. Inf. Fusion 112: 102563 (2024) - [j189]Zengyou He, Jiaqi Wang, Mudi Jiang, Lianyu Hu, Quan Zou:
Random subsequence forests. Inf. Sci. 667: 120478 (2024) - [j188]Chao Pang, Jianbo Qiao, Xiangxiang Zeng, Quan Zou, Leyi Wei:
Deep Generative Models in De Novo Drug Molecule Generation. J. Chem. Inf. Model. 64(7): 2174-2194 (2024) - [j187]Changjiang Li, Quan Zou, Cangzhi Jia, Jia Zheng:
AMPpred-MFA: An Interpretable Antimicrobial Peptide Predictor with a Stacking Architecture, Multiple Features, and Multihead Attention. J. Chem. Inf. Model. 64(7): 2393-2404 (2024) - [j186]Junkai Liu, Shixuan Guan, Quan Zou, Hongjie Wu, Prayag Tiwari, Yijie Ding:
AMDGT: Attention aware multi-modal fusion using a dual graph transformer for drug-disease associations prediction. Knowl. Based Syst. 284: 111329 (2024) - [j185]Hongjie Wu, Junkai Liu, Tengsheng Jiang, Quan Zou, Shujie Qi, Zhiming Cui, Prayag Tiwari, Yijie Ding:
AttentionMGT-DTA: A multi-modal drug-target affinity prediction using graph transformer and attention mechanism. Neural Networks 169: 623-636 (2024) - [j184]Xiaoyi Guo, Ziyu Zheng, Kang Hao Cheong, Quan Zou, Prayag Tiwari, Yijie Ding:
Sequence homology score-based deep fuzzy network for identifying therapeutic peptides. Neural Networks 178: 106458 (2024) - [j183]Yaojia Chen, Jiacheng Wang, Chunyu Wang, Quan Zou:
AutoEdge-CCP: A novel approach for predicting cancer-associated circRNAs and drugs based on automated edge embedding. PLoS Comput. Biol. 20(1) (2024) - [j182]Yixiao Zhai, Jiannan Chao, Yizheng Wang, Pinglu Zhang, Furong Tang, Quan Zou:
TPMA: A two pointers meta-alignment tool to ensemble different multiple nucleic acid sequence alignments. PLoS Comput. Biol. 20(4): 1011988 (2024) - [j181]Yuqing Qian, Quan Zou, Mengyuan Zhao, Yi Liu, Fei Guo, Yijie Ding:
scRNMF: An imputation method for single-cell RNA-seq data by robust and non-negative matrix factorization. PLoS Comput. Biol. 20(8): 1012339 (2024) - [j180]Tao Wang, Linlin Zhuo, Yifan Chen, Xiangzheng Fu, Xiangxiang Zeng, Quan Zou:
ECD-CDGI: An efficient energy-constrained diffusion model for cancer driver gene identification. PLoS Comput. Biol. 20(8): 1012400 (2024) - [j179]Yanpeng Yang, Yanyi Zheng, Quan Zou, Jian Li, Hailin Feng:
Overcoming CRISPR-Cas9 off-target prediction hurdles: A novel approach with ESB rebalancing strategy and CRISPR-MCA model. PLoS Comput. Biol. 20(9): 1012340 (2024) - [j178]Hao Duan, Qingchen Zhang, Feifei Cui, Quan Zou, Zilong Zhang:
MVST: Identifying spatial domains of spatial transcriptomes from multiple views using multi-view graph convolutional networks. PLoS Comput. Biol. 20(9): 1012409 (2024) - [j177]Chao Wang, Quan Zou:
MFPSP: Identification of fungal species-specific phosphorylation site using offspring competition-based genetic algorithm. PLoS Comput. Biol. 20(11): 1012607 (2024) - [j176]Yijie Ding, Fei Guo, Prayag Tiwari, Quan Zou:
Identification of Drug-Side-Effect Association via Multiview Semisupervised Sparse Model. IEEE Trans. Artif. Intell. 5(5): 2151-2162 (2024) - [j175]Mingshuai Chen, Quan Zou, Ren Qi, Yijie Ding:
PseU-KeMRF: A Novel Method for Identifying RNA Pseudouridine Sites. IEEE ACM Trans. Comput. Biol. Bioinform. 21(5): 1423-1435 (2024) - [j174]Yijie Ding, Prayag Tiwari, Fei Guo, Quan Zou, Weiping Ding:
Fuzzy Neural Tangent Kernel Model for Identifying DNA N4-Methylcytosine Sites. IEEE Trans. Fuzzy Syst. 32(10): 5714-5727 (2024) - [j173]Yuanyi Tian, Quan Zou, Chun-yu Wang, Cangzhi Jia:
MAMLCDA: A Meta-Learning Model for Predicting circRNA-Disease Association Based on MAML Combined With CNN. IEEE J. Biomed. Health Informatics 28(7): 4325-4335 (2024) - [j172]Changli Feng, Haiyan Wei, Chugui Xu, Bin Feng, Xiaorong Zhu, Jing Liu, Quan Zou:
iProps: A Comprehensive Software Tool for Protein Classification and Analysis With Automatic Machine Learning Capabilities and Model Interpretation Capabilities. IEEE J. Biomed. Health Informatics 28(10): 6237-6247 (2024) - [j171]Yuqing Qian, Ziyu Zheng, Prayag Tiwari, Yijie Ding, Quan Zou:
Multiple Kronecker RLS fusion-based link propagation for drug-side effect prediction. Trans. Mach. Learn. Res. 2024 (2024) - 2023
- [j170]Zijie Shen, Enhui Shen, Qian-Hao Zhu, Longjiang Fan, Quan Zou, Chu-Yu Ye:
GSCtool: A Novel Descriptor that Characterizes the Genome for Applying Machine Learning in Genomics. Adv. Intell. Syst. 5(12) (2023) - [j169]Hailin Feng, Dongdong Jin, Jian Li, Yane Li, Quan Zou, Tongcun Liu:
Matrix reconstruction with reliable neighbors for predicting potential MiRNA-disease associations. Briefings Bioinform. 24(1) (2023) - [j168]Jing Jiang, Junlin Xu, Yuansheng Liu, Bosheng Song, Xiulan Guo, Xiangxiang Zeng, Quan Zou:
Dimensionality reduction and visualization of single-cell RNA-seq data with an improved deep variational autoencoder. Briefings Bioinform. 24(3) (2023) - [j167]Yushan Qiu, Chang Yan, Pu Zhao, Quan Zou:
SSNMDI: a novel joint learning model of semi-supervised non-negative matrix factorization and data imputation for clustering of single-cell RNA-seq data. Briefings Bioinform. 24(3) (2023) - [j166]Juntao Chen, Jiannan Chao, Huan Liu, Fenglong Yang, Quan Zou, Furong Tang:
WMSA 2: a multiple DNA/RNA sequence alignment tool implemented with accurate progressive mode and a fast win-win mode combining the center star and progressive strategies. Briefings Bioinform. 24(4) (2023) - [j165]Zhongshen Li, Junru Jin, Wenjia He, Wentao Long, Haoqing Yu, Xin Gao, Kenta Nakai, Quan Zou, Leyi Wei:
CoraL: interpretable contrastive meta-learning for the prediction of cancer-associated ncRNA-encoded small peptides. Briefings Bioinform. 24(6) (2023) - [j164]Haoran Sun, Zhaoqi Song, Qiuming Chen, Meiling Wang, Furong Tang, Lijun Dou, Quan Zou, Fenglong Yang:
MMiKG: a knowledge graph-based platform for path mining of microbiota-mental diseases interactions. Briefings Bioinform. 24(6) (2023) - [j163]Shihu Jiao, Xiucai Ye, Chunyan Ao, Tetsuya Sakurai, Quan Zou, Lei Xu:
Adaptive learning embedding features to improve the predictive performance of SARS-CoV-2 phosphorylation sites. Bioinform. 39(10) (2023) - [j162]Xiaoqing Ru, Quan Zou, Chen Lin:
Optimization of drug-target affinity prediction methods through feature processing schemes. Bioinform. 39(11) (2023) - [j161]Ximei Luo, Qun Li, Yifan Tang, Yan Liu, Quan Zou, Jie Zheng, Ying Zhang, Lei Xu:
Predicting active enhancers with DNA methylation and histone modification. BMC Bioinform. 24(1): 414 (2023) - [j160]Yijie Ding, Prayag Tiwari, Fei Guo, Quan Zou:
Multi-correntropy fusion based fuzzy system for predicting DNA N4-methylcytosine sites. Inf. Fusion 100: 101911 (2023) - [j159]Ali Raza, Jamal Uddin, Abdullah Almuhaimeed, Shahid Akbar, Quan Zou, Ashfaq Ahmad:
AIPs-SnTCN: Predicting Anti-Inflammatory Peptides Using fastText and Transformer Encoder-Based Hybrid Word Embedding with Self-Normalized Temporal Convolutional Networks. J. Chem. Inf. Model. 63(21): 6537-6554 (2023) - [j158]Xiaoyi Guo, Prayag Tiwari, Quan Zou, Yijie Ding:
Subspace projection-based weighted echo state networks for predicting therapeutic peptides. Knowl. Based Syst. 263: 110307 (2023) - [j157]Liangjie Sun, Yushan Qiu, Wai-Ki Ching, Pu Zhao, Quan Zou:
PCB: A pseudotemporal causality-based Bayesian approach to identify EMT-associated regulatory relationships of AS events and RBPs during breast cancer progression. PLoS Comput. Biol. 19(3) (2023) - [j156]Ximei Luo, Yansu Wang, Quan Zou, Lei Xu:
Recall DNA methylation levels at low coverage sites using a CNN model in WGBS. PLoS Comput. Biol. 19(6) (2023) - [j155]Yijie Ding, Wenying He, Jijun Tang, Quan Zou, Fei Guo:
Laplacian Regularized Sparse Representation Based Classifier for Identifying DNA N4-Methylcytosine Sites via $L_{2,1/2}$L2,1/2-Matrix Norm. IEEE ACM Trans. Comput. Biol. Bioinform. 20(1): 500-511 (2023) - [j154]Chao Wang, Quan Zou, Ying Ju, Hua Shi:
Enhancer-FRL: Improved and Robust Identification of Enhancers and Their Activities Using Feature Representation Learning. IEEE ACM Trans. Comput. Biol. Bioinform. 20(2): 967-975 (2023) - [j153]Yuqing Qian, Yijie Ding, Quan Zou, Fei Guo:
Multi-View Kernel Sparse Representation for Identification of Membrane Protein Types. IEEE ACM Trans. Comput. Biol. Bioinform. 20(2): 1234-1245 (2023) - [j152]Shixuan Guan, Quan Zou, Hongjie Wu, Yijie Ding:
Protein-DNA Binding Residues Prediction Using a Deep Learning Model With Hierarchical Feature Extraction. IEEE ACM Trans. Comput. Biol. Bioinform. 20(5): 2619-2628 (2023) - [j151]Zengyou He, Ziyao Wu, Guangyao Xu, Yan Liu, Quan Zou:
Decision Tree for Sequences. IEEE Trans. Knowl. Data Eng. 35(1): 251-263 (2023) - 2022
- [j150]Chunyan Ao, Quan Zou, Liang Yu:
NmRF: identification of multispecies RNA 2'-O-methylation modification sites from RNA sequences. Briefings Bioinform. 23(1) (2022) - [j149]Jhabindra Khanal, Hilal Tayara, Quan Zou, Kil To Chong:
DeepCap-Kcr: accurate identification and investigation of protein lysine crotonylation sites based on capsule network. Briefings Bioinform. 23(1) (2022) - [j148]Huan Liu, Quan Zou, Yun Xu:
A novel fast multiple nucleotide sequence alignment method based on FM-index. Briefings Bioinform. 23(1) (2022) - [j147]Mengting Niu, Ying Ju, Chen Lin, Quan Zou:
Characterizing viral circRNAs and their application in identifying circRNAs in viruses. Briefings Bioinform. 23(1) (2022) - [j146]Ran Su, Yingying Zhu, Quan Zou, Leyi Wei:
Distant metastasis identification based on optimized graph representation of gene interaction patterns. Briefings Bioinform. 23(1) (2022) - [j145]Jiacheng Wang, Quan Zou, Chen Lin:
A comparison of deep learning-based pre-processing and clustering approaches for single-cell RNA sequencing data. Briefings Bioinform. 23(1) (2022) - [j144]Yongqing Zhang, Zixuan Wang, Yuanqi Zeng, Yuhang Liu, Shuwen Xiong, Maocheng Wang, Jiliu Zhou, Quan Zou:
A novel convolution attention model for predicting transcription factor binding sites by combination of sequence and shape. Briefings Bioinform. 23(1) (2022) - [j143]Yijie Ding, Jijun Tang, Fei Guo, Quan Zou:
Identification of drug-target interactions via multiple kernel-based triple collaborative matrix factorization. Briefings Bioinform. 23(2) (2022) - [j142]Meng Zhang, Cangzhi Jia, Fuyi Li, Chen Li, Yan Zhu, Tatsuya Akutsu, Geoffrey I. Webb, Quan Zou, Lachlan J. M. Coin, Jiangning Song:
Critical assessment of computational tools for prokaryotic and eukaryotic promoter prediction. Briefings Bioinform. 23(2) (2022) - [j141]Mengyuan Zhao, Wenying He, Jijun Tang, Quan Zou, Fei Guo:
A hybrid deep learning framework for gene regulatory network inference from single-cell transcriptomic data. Briefings Bioinform. 23(2) (2022) - [j140]Xiaoyi Guo, Yizhang Jiang, Quan Zou:
Structured Sparse Regularized TSK Fuzzy System for predicting therapeutic peptides. Briefings Bioinform. 23(3) (2022) - [j139]Ying Yang, Sha Tian, Yushan Qiu, Pu Zhao, Quan Zou:
MDICC: novel method for multi-omics data integration and cancer subtype identification. Briefings Bioinform. 23(3) (2022) - [j138]Yongqing Zhang, Qiang Zhang, Jiliu Zhou, Quan Zou:
A survey on the algorithm and development of multiple sequence alignment. Briefings Bioinform. 23(3) (2022) - [j137]Yaojia Chen, Jiacheng Wang, Chuyu Wang, Mingxin Liu, Quan Zou:
Deep learning models for disease-associated circRNA prediction: a review. Briefings Bioinform. 23(6) (2022) - [j136]Yuqing Qian, Yijie Ding, Quan Zou, Fei Guo:
Identification of drug-side effect association via restricted Boltzmann machines with penalized term. Briefings Bioinform. 23(6) (2022) - [j135]Xiaoqing Ru, Xiucai Ye, Tetsuya Sakurai, Quan Zou:
NerLTR-DTA: drug-target binding affinity prediction based on neighbor relationship and learning to rank. Bioinform. 38(7): 1964-1971 (2022) - [j134]Mengting Niu, Quan Zou, Chunyu Wang:
GMNN2CD: identification of circRNA-disease associations based on variational inference and graph Markov neural networks. Bioinform. 38(8): 2246-2253 (2022) - [j133]Ruheng Wang, Junru Jin, Quan Zou, Kenta Nakai, Leyi Wei:
Predicting protein-peptide binding residues via interpretable deep learning. Bioinform. 38(13): 3351-3360 (2022) - [j132]Zilong Zhang, Feifei Cui, Wei Su, Lijun Dou, Anqi Xu, Chen Cao, Quan Zou:
webSCST: an interactive web application for single-cell RNA-sequencing data and spatial transcriptomic data integration. Bioinform. 38(13): 3488-3489 (2022) - [j131]Yansu Wang, Ximei Luo, Quan Zou:
Effector-GAN: prediction of fungal effector proteins based on pretrained deep representation learning methods and generative adversarial networks. Bioinform. 38(14): 3541-3548 (2022) - [j130]Mobeen Ur Rehman, Hilal Tayara, Quan Zou, Kil To Chong:
i6mA-Caps: a CapsuleNet-based framework for identifying DNA N6-methyladenine sites. Bioinform. 38(16): 3885-3891 (2022) - [j129]Yanming Wei, Quan Zou, Furong Tang, Liang Yu:
WMSA: a novel method for multiple sequence alignment of DNA sequences. Bioinform. 38(22): 5019-5025 (2022) - [j128]Fan Yang, Jian Zhang, Wanyi Chen, Yongxuan Lai, Ying Wang, Quan Zou:
DeepMPM: a mortality risk prediction model using longitudinal EHR data. BMC Bioinform. 23(1): 423 (2022) - [j127]Zilong Zhang, Feifei Cui, Chen Cao, Qingsuo Wang, Quan Zou:
Single-cell RNA analysis reveals the potential risk of organ-specific cell types vulnerable to SARS-CoV-2 infections. Comput. Biol. Medicine 140: 105092 (2022) - [j126]Ziwei Wang, Ying Zhang, Qun Li, Quan Zou, Qing Liu:
A road map for happiness: The psychological factors related cell types in various parts of human body from single cell RNA-seq data analysis. Comput. Biol. Medicine 143: 105286 (2022) - [j125]Hongwu Lv, Ke Yan, Yichen Guo, Quan Zou, Abd El-Latif Hesham, Bin Liu:
AMPpred-EL: An effective antimicrobial peptide prediction model based on ensemble learning. Comput. Biol. Medicine 146: 105577 (2022) - [j124]Hao Wu, Qi Liang, Wenxiang Zhang, Quan Zou, Abd El-Latif Hesham, Bin Liu:
iLncDA-LTR: Identification of lncRNA-disease associations by learning to rank. Comput. Biol. Medicine 146: 105605 (2022) - [j123]Juntao Chen, Quan Zou, Jing Li:
DeepM6ASeq-EL: prediction of human N6-methyladenosine (m6A) sites with LSTM and ensemble learning. Frontiers Comput. Sci. 16(2): 162302 (2022) - [j122]Qingwen Li, Lichao Zhang, Lei Xu, Quan Zou, Jin Wu, Qingyuan Li:
Identification and classification of promoters using the attention mechanism based on long short-term memory. Frontiers Comput. Sci. 16(4): 164348 (2022) - [j121]Ren Qi, Fei Guo, Quan Zou:
String kernels construction and fusion: a survey with bioinformatics application. Frontiers Comput. Sci. 16(6): 166904 (2022) - [j120]Mengwei Sun, Prayag Tiwari, Yuqing Qian, Yijie Ding, Quan Zou:
MLapSVM-LBS: Predicting DNA-binding proteins via a multiple Laplacian regularized support vector machine with local behavior similarity. Knowl. Based Syst. 250: 109174 (2022) - [j119]Chen Cao, Jianhua Wang, Devin Kwok, Feifei Cui, Zilong Zhang, Da Zhao, Mulin Jun Li, Quan Zou:
webTWAS: a resource for disease candidate susceptibility genes identified by transcriptome-wide association study. Nucleic Acids Res. 50(D1): 1123-1130 (2022) - [j118]Yijie Ding, Prayag Tiwari, Fei Guo, Quan Zou:
Shared subspace-based radial basis function neural network for identifying ncRNAs subcellular localization. Neural Networks 156: 170-178 (2022) - [j117]Mengting Niu, Quan Zou, Chen Lin:
CRBPDL: Identification of circRNA-RBP interaction sites using an ensemble neural network approach. PLoS Comput. Biol. 18(1) (2022) - [j116]Ran Su, Haitang Yang, Leyi Wei, Siqi Chen, Quan Zou:
A multi-label learning model for predicting drug-induced pathology in multi-organ based on toxicogenomics data. PLoS Comput. Biol. 18(9): 1010402 (2022) - [j115]Yan Liu, Hao Liang, Quan Zou, Zengyou He:
Significance-Based Essential Protein Discovery. IEEE ACM Trans. Comput. Biol. Bioinform. 19(1): 633-642 (2022) - [j114]Changli Feng, Jin Wu, Haiyan Wei, Lei Xu, Quan Zou:
CRCF: A Method of Identifying Secretory Proteins of Malaria Parasites. IEEE ACM Trans. Comput. Biol. Bioinform. 19(4): 2149-2157 (2022) - [j113]Mengting Niu, Quan Zou:
SgRNA-RF: Identification of SgRNA On-Target Activity With Imbalanced Datasets. IEEE ACM Trans. Comput. Biol. Bioinform. 19(4): 2442-2453 (2022) - [j112]Yijie Ding, Prayag Tiwari, Quan Zou, Fei Guo, Hari Mohan Pandey:
C-Loss Based Higher Order Fuzzy Inference Systems for Identifying DNA N4-Methylcytosine Sites. IEEE Trans. Fuzzy Syst. 30(11): 4754-4765 (2022) - [j111]Lei Wang, Hao Li, Yuqi Wang, Yihong Tan, Zhiping Chen, Tingrui Pei, Quan Zou:
MDADP: A Webserver Integrating Database and Prediction Tools for Microbe-Disease Associations. IEEE J. Biomed. Health Informatics 26(7): 3427-3434 (2022) - 2021
- [j110]Zengyou He, Chaohua Sheng, Yan Liu, Quan Zou:
Instance-Based Classification Through Hypothesis Testing. IEEE Access 9: 17485-17494 (2021) - [j109]Feifei Cui, Quan Zou, Qin Ma, Leyi Wei, Jijun Tang, Dariusz Mrozek:
IEEE Access Special Section Editorial: Feature Representation and Learning Methods With Applications in Large-Scale Biological Sequence Analysis. IEEE Access 9: 33110-33119 (2021) - [j108]Jing Li, Leyi Wei, Fei Guo, Quan Zou:
EP3: an ensemble predictor that accurately identifies type III secreted effectors. Briefings Bioinform. 22(2): 1918-1928 (2021) - [j107]Jiawei Li, Yuqian Pu, Jijun Tang, Quan Zou, Fei Guo:
DeepATT: a hybrid category attention neural network for identifying functional effects of DNA sequences. Briefings Bioinform. 22(3) (2021) - [j106]Lei Xu, Shanshan Jiang, Jin Wu, Quan Zou:
An in silico approach to identification, categorization and prediction of nucleic acid binding proteins. Briefings Bioinform. 22(3) (2021) - [j105]Lijun Cai, Li Wang, Xiangzheng Fu, Chenxing Xia, Xiangxiang Zeng, Quan Zou:
ITP-Pred: an interpretable method for predicting, therapeutic peptides with fused features low-dimension representation. Briefings Bioinform. 22(4) (2021) - [j104]Ren Qi, Jin Wu, Fei Guo, Lei Xu, Quan Zou:
A spectral clustering with self-weighted multiple kernel learning method for single-cell RNA-seq data. Briefings Bioinform. 22(4) (2021) - [j103]Shanwen Sun, BenZhi Dong, Quan Zou:
Revisiting genome-wide association studies from statistical modelling to machine learning. Briefings Bioinform. 22(4) (2021) - [j102]Yujia Xiang, Quan Zou, Lilin Zhao:
VPTMdb: a viral posttranslational modification database. Briefings Bioinform. 22(4) (2021) - [j101]Lijun Dou, Fenglong Yang, Lei Xu, Quan Zou:
A comprehensive review of the imbalance classification of protein post-translational modifications. Briefings Bioinform. 22(5) (2021) - [j100]Jing Li, Lichao Zhang, Shida He, Fei Guo, Quan Zou:
SubLocEP: a novel ensemble predictor of subcellular localization of eukaryotic mRNA based on machine learning. Briefings Bioinform. 22(5) (2021) - [j99]Zhibin Lv, Feifei Cui, Quan Zou, Lichao Zhang, Lei Xu:
Anticancer peptides prediction with deep representation learning features. Briefings Bioinform. 22(5) (2021) - [j98]Yushan Qiu, Wai-Ki Ching, Quan Zou:
Prediction of RNA-binding protein and alternative splicing event associations during epithelial-mesenchymal transition based on inductive matrix completion. Briefings Bioinform. 22(5) (2021) - [j97]Xiaoqing Ru, Xiucai Ye, Tetsuya Sakurai, Quan Zou:
Application of learning to rank in bioinformatics tasks. Briefings Bioinform. 22(5) (2021) - [j96]Yansu Wang, Murong Zhou, Quan Zou, Lei Xu:
Machine learning for phytopathology: from the molecular scale towards the network scale. Briefings Bioinform. 22(5) (2021) - [j95]Fenglong Yang, Quan Zou:
DisBalance: a platform to automatically build balance-based disease prediction models and discover microbial biomarkers from microbiome data. Briefings Bioinform. 22(5) (2021) - [j94]Fenglong Yang, Quan Zou, Bo Gao:
GutBalance: a server for the human gut microbiome-based disease prediction and biomarker discovery with compositionality addressed. Briefings Bioinform. 22(5) (2021) - [j93]Zilong Zhang, Feifei Cui, Chen Lin, Lingling Zhao, Chunyu Wang, Quan Zou:
Critical downstream analysis steps for single-cell RNA sequencing data. Briefings Bioinform. 22(5) (2021) - [j92]Mengyuan Zhao, Wenying He, Jijun Tang, Quan Zou, Fei Guo:
A comprehensive overview and critical evaluation of gene regulatory network inference technologies. Briefings Bioinform. 22(5) (2021) - [j91]Yu Cheng, Yongshun Gong, Yuansheng Liu, Bosheng Song, Quan Zou:
Molecular design in drug discovery: a comprehensive review of deep generative models. Briefings Bioinform. 22(6) (2021) - [j90]Wenying He, Jijun Tang, Quan Zou, Fei Guo:
MMFGRN: a multi-source multi-model fusion method for gene regulatory network reconstruction. Briefings Bioinform. 22(6) (2021) - [j89]Yushan Qiu, Wai-Ki Ching, Quan Zou:
Matrix factorization-based data fusion for the prediction of RNA-binding proteins and alternative splicing event associations during epithelial-mesenchymal transition. Briefings Bioinform. 22(6) (2021) - [j88]Furong Tang, Lichao Zhang, Lei Xu, Quan Zou, Hailin Feng:
The accurate prediction and characterization of cancerlectin by a combined machine learning and GO analysis. Briefings Bioinform. 22(6) (2021) - [j87]Yongqing Zhang, Zixuan Wang, Yuanqi Zeng, Jiliu Zhou, Quan Zou:
High-resolution transcription factor binding sites prediction improved performance and interpretability by deep learning method. Briefings Bioinform. 22(6) (2021) - [j86]Zhibin Lv, Pingping Wang, Quan Zou, Qinghua Jiang:
Identification of sub-Golgi protein localization by use of deep representation learning features. Bioinform. 36(24): 5600-5609 (2021) - [j85]Shanwen Sun, Lei Xu, Quan Zou, Guohua Wang:
BP4RNAseq: a babysitter package for retrospective and newly generated RNA-seq data analyses using both alignment-based and alignment-free quantification method. Bioinform. 37(9): 1319-1321 (2021) - [j84]Yuansheng Liu, Xiaocai Zhang, Quan Zou, Xiangxiang Zeng:
Minirmd: accurate and fast duplicate removal tool for short reads via multiple minimizers. Bioinform. 37(11): 1604-1606 (2021) - [j83]Chao Wang, Ying Ju, Quan Zou, Chen Lin:
DeepAc4C: a convolutional neural network model with hybrid features composed of physicochemical patterns and distributed representation information for identification of N4-acetylcytidine in mRNA. Bioinform. 38(1): 52-57 (2021) - [j82]Yun Zuo, Jianyuan Lin, Xiangxiang Zeng, Quan Zou, Xiangrong Liu:
CarSite-II: an integrated classification algorithm for identifying carbonylated sites based on K-means similarity-based undersampling and synthetic minority oversampling techniques. BMC Bioinform. 22(1): 216 (2021) - [j81]Feifei Cui, Murong Zhou, Quan Zou:
Computational biology and chemistry Special section editorial: Computational analyses for miRNA. Comput. Biol. Chem. 91: 107448 (2021) - [j80]Zhibin Lv, Hui Ding, Lei Wang, Quan Zou:
A Convolutional Neural Network Using Dinucleotide One-hot Encoder for identifying DNA N6-Methyladenine Sites in the Rice Genome. Neurocomputing 422: 214-221 (2021) - [j79]Changli Feng, Quan Zou, Donghua Wang:
Using a low correlation high orthogonality feature set and machine learning methods to identify plant pentatricopeptide repeat coding gene/protein. Neurocomputing 424: 246-254 (2021) - [j78]Yifan Shang, Lin Gao, Quan Zou, Liang Yu:
Prediction of drug-target interactions based on multi-layer network representation learning. Neurocomputing 434: 80-89 (2021) - [j77]Yinuo Lyu, Wenying He, Shuhao Li, Quan Zou, Fei Guo:
iPro2L-PSTKNC: A Two-Layer Predictor for Discovering Various Types of Promoters by Position Specific of Nucleotide Composition. IEEE J. Biomed. Health Informatics 25(6): 2329-2337 (2021) - [j76]Mengting Niu, Jin Wu, Quan Zou, Zhendong Liu, Lei Xu:
rBPDL: Predicting RNA-Binding Proteins Using Deep Learning. IEEE J. Biomed. Health Informatics 25(9): 3668-3676 (2021) - 2020
- [j75]Zengyou He, Guangyao Xu, Chaohua Sheng, Bo Xu, Quan Zou:
Reference-Based Sequence Classification. IEEE Access 8: 218199-218214 (2020) - [j74]Quan Zou, Gang Lin, Xingpeng Jiang, Xiangrong Liu, Xiangxiang Zeng:
Sequence clustering in bioinformatics: an empirical study. Briefings Bioinform. 21(1): 1-10 (2020) - [j73]Leyi Wei, Jie Hu, Fuyi Li, Jiangning Song, Ran Su, Quan Zou:
Comparative analysis and prediction of quorum-sensing peptides using feature representation learning and machine learning algorithms. Briefings Bioinform. 21(1): 106-119 (2020) - [j72]Bin Liu, Shuangyan Jiang, Quan Zou:
HITS-PR-HHblits: protein remote homology detection by combining PageRank and Hyperlink-Induced Topic Search. Briefings Bioinform. 21(1): 298-308 (2020) - [j71]Ran Su, Jie Hu, Quan Zou, Balachandran Manavalan, Leyi Wei:
Empirical comparison and analysis of web-based cell-penetrating peptide prediction tools. Briefings Bioinform. 21(2): 408-420 (2020) - [j70]Xiangrong Liu, Zengyan Hong, Juan Liu, Yuan Lin, Alfonso Rodríguez-Patón, Quan Zou, Xiangxiang Zeng:
Computational methods for identifying the critical nodes in biological networks. Briefings Bioinform. 21(2): 486-497 (2020) - [j69]Zijie Shen, Yuan Lin, Quan Zou:
Transcription factors-DNA interactions in rice: identification and verification. Briefings Bioinform. 21(3): 946-956 (2020) - [j68]Ren Qi, Anjun Ma, Qin Ma, Quan Zou:
Clustering and classification methods for single-cell RNA-sequencing data. Briefings Bioinform. 21(4): 1196-1208 (2020) - [j67]Xiangxiang Zeng, Yue Zhong, Wei Lin, Quan Zou:
Predicting disease-associated circular RNAs using deep forests combined with positive-unlabeled learning methods. Briefings Bioinform. 21(4): 1425-1436 (2020) - [j66]Yinan Shen, Yijie Ding, Jijun Tang, Quan Zou, Fei Guo:
Critical evaluation of web-based prediction tools for human protein subcellular localization. Briefings Bioinform. 21(5): 1628-1640 (2020) - [j65]Fenglong Yang, Quan Zou:
mAML: an automated machine learning pipeline with a microbiome repository for human disease classification. Database J. Biol. Databases Curation 2020 (2020) - [j64]Xiangzheng Fu, Lijun Cai, Xiangxiang Zeng, Quan Zou:
StackCPPred: a stacking and pairwise energy content-based prediction of cell-penetrating peptides and their uptake efficiency. Bioinform. 36(10): 3028-3034 (2020) - [j63]Yu P. Zhang, Quan Zou:
PPTPP: a novel therapeutic peptide prediction method using physicochemical property encoding and adaptive feature representation learning. Bioinform. 36(13): 3982-3987 (2020) - [j62]Zijie Shen, Quan Zou:
Basic polar and hydrophobic properties are the main characteristics that affect the binding of transcription factors to methylation sites. Bioinform. 36(15): 4263-4268 (2020) - [j61]Chaolu Meng, Fei Guo, Quan Zou:
CWLy-SVM: A support vector machine-based tool for identifying cell wall lytic enzymes. Comput. Biol. Chem. 87: 107304 (2020) - [j60]Xiaoqing Ru, Lida Wang, Lihong Li, Hui Ding, Xiucai Ye, Quan Zou:
Exploration of the correlation between GPCRs and drugs based on a learning to rank algorithm. Comput. Biol. Medicine 119: 103660 (2020) - [j59]Zengyou He, Can Zhao, Hao Liang, Bo Xu, Quan Zou:
Protein Complexes Identification with Family-Wise Error Rate Control. IEEE ACM Trans. Comput. Biol. Bioinform. 17(6): 2062-2073 (2020) - [j58]Jiawei Li, Yuqian Pu, Jijun Tang, Quan Zou, Fei Guo:
DeepAVP: A Dual-Channel Deep Neural Network for Identifying Variable-Length Antiviral Peptides. IEEE J. Biomed. Health Informatics 24(10): 3012-3019 (2020) - 2019
- [j57]Fujia Ren, Chenhui Yang, Qi Qiu, Nianyin Zeng, Chunting Cai, Chaoqun Hou, Quan Zou:
Exploiting Discriminative Regions of Brain Slices Based on 2D CNNs for Alzheimer's Disease Classification. IEEE Access 7: 181423-181433 (2019) - [j56]Wenying He, Cangzhi Jia, Quan Zou:
4mCPred: machine learning methods for DNA N4-methylcytosine sites prediction. Bioinform. 35(4): 593-601 (2019) - [j55]Leyi Wei, Shasha Luan, Luis Augusto Eijy Nagai, Ran Su, Quan Zou:
Exploring sequence-based features for the improved prediction of DNA N4-methylcytosine sites in multiple species. Bioinform. 35(8): 1326-1333 (2019) - [j54]Leyi Wei, Chen Zhou, Ran Su, Quan Zou:
PEPred-Suite: improved and robust prediction of therapeutic peptides using adaptive feature representation learning. Bioinform. 35(21): 4272-4280 (2019) - [j53]Leyi Wei, Ran Su, Shasha Luan, Zhijun Liao, Balachandran Manavalan, Quan Zou, Xiaolong Shi:
Iterative feature representations improve N4-methylcytosine site prediction. Bioinform. 35(23): 4930-4937 (2019) - [j52]Jingwen Yu, Zhanwei Xuan, Xiang Feng, Quan Zou, Lei Wang:
A novel collaborative filtering model for LncRNA-disease association prediction based on the Naïve Bayesian classifier. BMC Bioinform. 20(1): 396:1-396:13 (2019) - [j51]Fei Guo, Quan Zou, Guang Yang, Dan Wang, Jijun Tang, Junhai Xu:
Identifying protein-protein interface via a novel multi-scale local sequence and structural representation. BMC Bioinform. 20-S(15): 483 (2019) - [j50]Kaiyang Qu, Feng Gao, Fei Guo, Quan Zou:
Taxonomy dimension reduction for colorectal cancer prediction. Comput. Biol. Chem. 83 (2019) - [j49]Kelvin Kian Loong Wong, Zhihua Liu, Quan Zou:
Multi-objective optimization and data analysis in informationization. Computing 101(6): 495-498 (2019) - [j48]Leyi Wei, Ran Su, Bing Wang, Xiuting Li, Quan Zou, Xing Gao:
Integration of deep feature representations and handcrafted features to improve the prediction of N6-methyladenosine sites. Neurocomputing 324: 3-9 (2019) - [j47]Xiangxiang Zeng, Wei Lin, Maozu Guo, Quan Zou:
Details in the evaluation of circular RNA detection tools: Reply to Chen and Chuang. PLoS Comput. Biol. 15(4) (2019) - [j46]Xuan Zhang, Quan Zou, Alfonso Rodríguez-Patón, Xiangxiang Zeng:
Meta-Path Methods for Prioritizing Candidate Disease miRNAs. IEEE ACM Trans. Comput. Biol. Bioinform. 16(1): 283-291 (2019) - [j45]Quan Zou, Qi Liu:
Advanced Machine Learning Techniques for Bioinformatics. IEEE ACM Trans. Comput. Biol. Bioinform. 16(4): 1182-1183 (2019) - [j44]Leyi Wei, Pengwei Xing, Gaotao Shi, Zhiliang Ji, Quan Zou:
Fast Prediction of Protein Methylation Sites Using a Sequence-Based Feature Selection Technique. IEEE ACM Trans. Comput. Biol. Bioinform. 16(4): 1264-1273 (2019) - 2018
- [j43]Wei Tang, Shixiang Wan, Zhen Yang, Andrew E. Teschendorff, Quan Zou:
Tumor origin detection with tissue-specific miRNA and DNA methylation markers. Bioinform. 34(3): 398-406 (2018) - [j42]Cangzhi Jia, Yun Zuo, Quan Zou:
O-GlcNAcPRED-II: an integrated classification algorithm for identifying O-GlcNAcylation sites based on fuzzy undersampling and a K-means PCA oversampling technique. Bioinform. 34(12): 2029-2036 (2018) - [j41]Xiangxiang Zeng, Li Liu, Linyuan Lü, Quan Zou:
Prediction of potential disease-associated microRNAs using structural perturbation method. Bioinform. 34(14): 2425-2432 (2018) - [j40]Shunyun Yang, Runxin Guo, Rui Liu, Xiangke Liao, Quan Zou, Benyun Shi, Shaoliang Peng:
cmFSM: a scalable CPU-MIC coordinated drug-finding tool by frequent subgraph mining. BMC Bioinform. 19-S(4): 35-47 (2018) - [j39]Shaoliang Peng, Minxia Cheng, Kaiwen Huang, Yingbo Cui, Zhiqiang Zhang, Runxin Guo, Xiaoyu Zhang, Shunyun Yang, Xiangke Liao, Yutong Lu, Quan Zou, Benyun Shi:
Efficient computation of motif discovery on Intel Many Integrated Core (MIC) Architecture. BMC Bioinform. 19-S(9): 185-194 (2018) - [j38]Wenying He, Cangzhi Jia, Yucong Duan, Quan Zou:
70ProPred: a predictor for discovering sigma70 promoters based on combining multiple features. BMC Syst. Biol. 12(4): 99-107 (2018) - [j37]Leyi Wei, Yijie Ding, Ran Su, Jijun Tang, Quan Zou:
Prediction of human protein subcellular localization using deep learning. J. Parallel Distributed Comput. 117: 212-217 (2018) - [j36]Quan Zou, Chi-Wei Chen, Hao-Chen Chang, Yen-Wei Chu:
Identifying Cleavage Sites of Gelatinases A and B by Integrating Feature Computing Models. J. Univers. Comput. Sci. 24(6): 711-724 (2018) - [j35]Zhengyang Song, Yucong Duan, Shixiang Wan, Xiaobing Sun, Quan Zou, Honghao Gao, Donghai Zhu:
Processing Optimization of Typed Resources with Synchronized Storage and Computation Adaptation in Fog Computing. Wirel. Commun. Mob. Comput. 2018: 3794175:1-3794175:13 (2018) - 2017
- [j34]Shixiang Wan, Quan Zou:
HAlign-II: efficient ultra-large multiple sequence alignment and phylogenetic tree reconstruction with distributed and parallel computing. Algorithms Mol. Biol. 12(1): 25:1-25:10 (2017) - [j33]Quan Zou, Lei Chen, Tao Huang, Zhenguo Zhang, Yungang Xu:
Machine learning and graph analytics in computational biomedicine. Artif. Intell. Medicine 83: 1 (2017) - [j32]Xi Chen, Chen Wang, Shanjiang Tang, Ce Yu, Quan Zou:
CMSA: a heterogeneous CPU/GPU computing system for multiple similar RNA/DNA sequence alignment. BMC Bioinform. 18(1): 315 (2017) - [j31]Quan Zou, Shixiang Wan, Xiangxiang Zeng, Zhanshan (Sam) Ma:
Reconstructing evolutionary trees in parallel for massive sequences. BMC Syst. Biol. 11(6): 15-21 (2017) - [j30]Leyi Wei, Jijun Tang, Quan Zou:
Local-DPP: An improved DNA-binding protein prediction method by exploring local evolutionary information. Inf. Sci. 384: 135-144 (2017) - [j29]Wenhe Su, Xiangke Liao, Yutong Lu, Quan Zou, Shaoliang Peng:
Multiple Sequence Alignment Based on a Suffix Tree and Center-Star Strategy: A Linear Method for Multiple Nucleotide Sequence Alignment on Spark Parallel Framework. J. Comput. Biol. 24(12): 1230-1242 (2017) - [j28]Meihong Wu, Jiasheng Guo, Ying Ju, Ziyu Lin, Quan Zou:
基于分层筛选和动态更新的并行选择集成算法 (Selective Ensemble Learning Algorithm Based on Hierarchical Selection and Dynamic Updating in Parallel). 计算机科学 44(1): 48-52 (2017) - [j27]Xiangxiang Zeng, Wei Lin, Maozu Guo, Quan Zou:
A comprehensive overview and evaluation of circular RNA detection tools. PLoS Comput. Biol. 13(6) (2017) - [j26]Xiangxiang Zeng, Yuanlu Liao, Yuansheng Liu, Quan Zou:
Prediction and Validation of Disease Genes Using HeteSim Scores. IEEE ACM Trans. Comput. Biol. Bioinform. 14(3): 687-695 (2017) - [j25]Yuansheng Liu, Xiangxiang Zeng, Zengyou He, Quan Zou:
Inferring MicroRNA-Disease Associations by Random Walk on a Heterogeneous Network with Multiple Data Sources. IEEE ACM Trans. Comput. Biol. Bioinform. 14(4): 905-915 (2017) - 2016
- [j24]Quan Zou, Sifa Xie, Ziyu Lin, Meihong Wu, Ying Ju:
Finding the Best Classification Threshold in Imbalanced Classification. Big Data Res. 5: 2-8 (2016) - [j23]Xiangxiang Zeng, Xuan Zhang, Quan Zou:
Integrative approaches for predicting microRNA function and prioritizing disease-related microRNA using biological interaction networks. Briefings Bioinform. 17(2): 193-203 (2016) - [j22]Quan Zou, Shixiang Wan, Ying Ju, Jijun Tang, Xiangxiang Zeng:
Pretata: predicting TATA binding proteins with novel features and dimensionality reduction strategy. BMC Syst. Biol. 10(4): 401-412 (2016) - [j21]Quan Zou, Jian-Cang Zeng, Liujuan Cao, Rongrong Ji:
A novel features ranking metric with application to scalable visual and bioinformatics data classification. Neurocomputing 173: 346-354 (2016) - [j20]Shuo Zhao, Yahong Han, Quan Zou, Qinghua Hu:
Hierarchical support vector machine based structural classification with fused hierarchies. Neurocomputing 214: 86-92 (2016) - [j19]Zhiqiang Zeng, Hua Shi, Yun Wu, Quan Zou:
Annotation-retrieval reinforcement by visual cognition modeling on manifold. Neurocomputing 215: 150-159 (2016) - [j18]Quan Zou, Wei Liu, Michele Merler, Rongrong Ji:
Advanced learning for large-scale heterogeneous computing. Neurocomputing 217: 1-2 (2016) - 2015
- [j17]Quan Zou, Qinghua Hu, Maozu Guo, Guohua Wang:
HAlign: Fast multiple similar DNA/RNA sequence alignment based on the centre star strategy. Bioinform. 31(15): 2475-2481 (2015) - [j16]Xiangxiang Zeng, Sisi Yuan, Xianxian Huang, Quan Zou:
Identification of cytokine via an improved genetic algorithm. Frontiers Comput. Sci. 9(4): 643-651 (2015) - [j15]Tao Song, Quan Zou, Xiangrong Liu, Xiangxiang Zeng:
Asynchronous spiking neural P systems with rules on synapses. Neurocomputing 151: 1439-1445 (2015) - 2014
- [j14]Quan Zou, Xu-Bin Li, Wen-Rui Jiang, Ziyu Lin, Gui-Lin Li, Ke Chen:
Survey of MapReduce frame operation in bioinformatics. Briefings Bioinform. 15(4): 637-647 (2014) - [j13]Li Song, Dapeng Li, Xiangxiang Zeng, Yunfeng Wu, Li Guo, Quan Zou:
nDNA-prot: identification of DNA-binding proteins based on unbalanced classification. BMC Bioinform. 15: 298 (2014) - [j12]Bin Liu, Jinghao Xu, Quan Zou, Ruifeng Xu, Xiaolong Wang, Qingcai Chen:
Using distances between Top-n-gram and residue pairs for protein remote homology detection. BMC Bioinform. 15(S-2): S3 (2014) - [j11]Quan Zou, Yaozong Mao, Lingling Hu, Yunfeng Wu, Zhi-Liang Ji:
miRClassify: An advanced web server for miRNA family classification and annotation. Comput. Biol. Medicine 45: 157-160 (2014) - [j10]Chen Lin, Wenqiang Chen, Cheng Qiu, Yunfeng Wu, Sridhar Krishnan, Quan Zou:
LibD3C: Ensemble classifiers with a clustering and dynamic selection strategy. Neurocomputing 123: 424-435 (2014) - [j9]Xiangxiang Zeng, Sisi Yuan, You Li, Quan Zou:
Decision Tree Classification Model for Popularity Forecast of Chinese Colleges. J. Appl. Math. 2014: 675806:1-675806:7 (2014) - [j8]Leyi Wei, Minghong Liao, Yue Gao, Rongrong Ji, Zengyou He, Quan Zou:
Improved and Promising Identificationof Human MicroRNAs by Incorporatinga High-Quality Negative Set. IEEE ACM Trans. Comput. Biol. Bioinform. 11(1): 192-201 (2014) - 2013
- [j7]Chen Lin, Chun Lin, Ziyu Lin, Quan Zou:
Hybrid pseudo-relevance feedback for microblog retrieval. J. Inf. Sci. 39(6): 773-788 (2013) - 2012
- [j6]Jian-Bo Pan, Shi-chang Hu, Hao Wang, Quan Zou, Zhi-Liang Ji:
PaGeFinder: quantitative identification of spatiotemporal pattern genes. Bioinform. 28(11): 1544-1545 (2012) - [j5]Chen Lin, Zhenhua Huang, Fan Yang, Quan Zou:
Identify content quality in online social networks. IET Commun. 6(12): 1618-1624 (2012) - 2010
- [j4]Sheng-Jian Xiao, Chi Zhang, Quan Zou, Zhi-Liang Ji:
TiSGeD: a database for tissue-specific genes. Bioinform. 26(9): 1273-1275 (2010) - [j3]Quan Zou, Maozu Guo, Yang Liu, Ping Xuan:
DuplexFinder: Predicting the miRNA - miRNA* duplex from the animal precursors. Int. J. Bioinform. Res. Appl. 6(1): 69-81 (2010) - 2009
- [j2]Quan Zou, Tuo Zhao, Yang Liu, Maozu Guo:
Predicting RNA secondary structure based on the class information and Hopfield network. Comput. Biol. Medicine 39(3): 206-214 (2009) - 2008
- [j1]Tuo Zhao, Zhizheng Liang, David Zhang, Quan Zou:
Interest filter vs. interest operator: Face recognition using Fisher linear discriminant based on interest filter representation. Pattern Recognit. Lett. 29(13): 1849-1857 (2008)
Conference and Workshop Papers
- 2024
- [c38]Yaojia Chen, Mengting Niu, Yi Liu, Jiacheng Wang, Yijie Ding, Quan Zou:
AAHLDMA: Predicting Drug-Microbe Associations Based on Bridge Graph Learning. ICIC (LNBI 2) 2024: 3-14 - [c37]Yi Liu, Quan Zou:
Spatial Domain Identifying: Graph Attention Network with Two Different Decoders. ICIC (LNBI 1) 2024: 310-320 - 2023
- [c36]Yunyun Su, Feifei Cui, Shiyu Yan, Quan Zou, Chen Cao, Zilong Zhang:
Human-Spa: An Online Platform Based on Spatial Transcriptome Data for Diseases of Human Systems. BIBM 2023: 293-298 - [c35]Yuhang Liu, Tianhao Li, Zixuan Wang, Guiquan Zhu, Yongqing Zhang, Quan Zou:
Exploring Parameter-Efficient Fine-Tuning of a Large-Scale Pre-Trained Model for scRNA-seq Cell Type Annotation. BIBM 2023: 580-585 - [c34]Shuwen Xiong, Zixuan Wang, Junming Zhang, Guiquan Zhu, Yongqing Zhang, Quan Zou:
HGTDG: An Interpretable Heterogeneous Graph Transformer Framework for Cancer Driver Gene Prediction. BIBM 2023: 698-703 - [c33]Shuwen Xiong, Zixuan Wang, Junming Zhang, Hong Luo, Yongqing Zhang, Quan Zou:
KDProg: A Knowledge distillation graph neural network for cancer prognosis prediction and analysis. BIBM 2023: 1582-1587 - [c32]Xin Zhang, Quan Zou:
Virtual Screening of Traditional Chinese Medicine for Discovery of Potential Anti-SARS-CoV-2 Lead Molecules. ICBBT 2023: 238-242 - 2022
- [c31]Xiaoyi Guo, Yuqing Qian, Prayag Tiwari, Quan Zou, Yijie Ding:
Kernel Risk Sensitive Loss-based Echo State Networks for Predicting Therapeutic Peptides with Sparse Learning. BIBM 2022: 6-11 - [c30]Zixuan Wang, Yongqing Zhang, Yun Yu, Maocheng Wang, Yuhang Liu, Quan Zou:
Single-cell TF-DNA binding prediction and analysis based on transfer learning framework. BIBM 2022: 589-594 - [c29]Yongqing Zhang, Yuhang Liu, Zixuan Wang, Maocheng Wang, Shuwen Xiong, Quan Zou:
Predicting cell type-specific effects of variants on TF-DNA binding by meta-learning. BIBM 2022: 680-685 - [c28]Mengting Niu, Abd El-Latif Hesham, Quan Zou:
GATSDCD: Prediction of circRNA-Disease Associations Based on Singular Value Decomposition and Graph Attention Network. ICIC (2) 2022: 14-27 - 2021
- [c27]Mengwei Sun, Yuqing Qian, Yijie Ding, Jijun Tang, Quan Zou:
Membrane Protein Identification via Multi-view Graph Regularized k-Local Hyperplane Distance Nearest Neighbor Model. BIBM 2021: 80-85 - [c26]Yongqing Zhang, Zixuan Wang, Yuhang Liu, Libo Lu, Xiaoyao Tan, Quan Zou:
By hybrid neural networks for prediction and interpretation of transcription factor binding sites based on multi-omics. BIBM 2021: 594-599 - [c25]Shuai Fan, Chen Lin, Hui Li, Quan Zou:
News Popularity Prediction with Local-Global Long-Short-Term Embedding. WISE (2) 2021: 79-93 - 2020
- [c24]Yongqing Zhang, Qingyuan Chen, Dongrui Gao, Quan Zou:
GRRFNet: Guided Regularized Random Forest-based Gene Regulatory Network Inference Using Data Integration. BIBM 2020: 132-139 - 2019
- [c23]Fan Yang, Zhongping Yu, Yunfan Liang, Xiaolu Gan, Kaibiao Lin, Quan Zou, Yifeng Zeng:
Grouped Correlational Generative Adversarial Networks for Discrete Electronic Health Records. BIBM 2019: 906-913 - [c22]Quan Zou:
A Prototype System using Location-based Twitter Data for Disaster Management. IGARSS 2019: 9514-9517 - [c21]Jing Li, Pengfei Zhu, Quan Zou:
Prediction of Thermophilic Proteins Using Voting Algorithm. IWBBIO (1) 2019: 195-203 - 2018
- [c20]Yucong Duan, Zhengyang Song, Xiaoxian Yang, Quan Zou, Xiaobing Sun, Xinyue Zhang:
Towards Cost Effective Privacy Provision for Typed Resources in IoT Environment (S). SEKE 2018: 46-49 - 2017
- [c19]Xiangyi Meng, Quan Zou, Alfonso Rodríguez-Patón, Xiangxiang Zeng:
Iteratively collective prediction of disease-gene associations through the incomplete network. BIBM 2017: 1324-1330 - [c18]Lixu Shao, Yucong Duan, Zhangbing Zhou, Quan Zou, Honghao Gao:
Learning Planning and Recommendation Based on an Adaptive Architecture on Data Graph, Information Graph and Knowledge Graph. CollaborateCom 2017: 323-332 - [c17]Zongqing Lu, Quan Zou, Fei Zhou, Qingmin Liao:
Wavelet-based single image super-resolution with an overall enhancement procedure. ICASSP 2017: 1447-1451 - [c16]Lixu Shao, Yucong Duan, Lizhen Cui, Quan Zou, Xiaobing Sun:
A Pay as You Use Resource Security Provision Approach Based on Data Graph, Information Graph and Knowledge Graph. IDEAL 2017: 444-451 - [c15]Yucong Duan, Lixu Shao, Gongzhu Hu, Zhangbing Zhou, Quan Zou, Zhaoxin Lin:
Specifying architecture of knowledge graph with data graph, information graph, knowledge graph and wisdom graph. SERA 2017: 327-332 - [c14]Lixu Shao, Yucong Duan, Xiaobing Sun, Quan Zou, Rongqi Jing, Jiami Lin:
Bidirectional value driven design between economical planning and technical implementation based on data graph, information graph and knowledge graph. SERA 2017: 339-344 - 2016
- [c13]Quan Zou, Shixiang Wan, Xiangxiang Zeng:
HPTree: Reconstructing phylogenetic trees for ultra-large unaligned DNA sequences via NJ model and Hadoop. BIBM 2016: 53-58 - [c12]Xiangxiang Zeng, Ningxiang Ding, Quan Zou:
Latent factor model with heterogeneous similarity regularization for predicting gene-disease associations. BIBM 2016: 682-687 - [c11]Quan Zou:
Multiple sequence alignment and reconstructing phylogenetic trees with Hadoop. BIBM 2016: 1438 - [c10]Quan Zou, Shixiang Wan, Bing Han, Zhihui Zhan:
BDSCyto: An Automated Approach for Identifying Cytokines Based on Best Dimension Searching. PRICAI 2016: 713-725 - 2015
- [c9]Jiasheng Guo, Jian-Cang Zeng, Jin-Xiu Chen, Quan Zou:
Selective ensemble learning with parallel optimization and hierarchical selection. ICMLC 2015: 194-199 - 2012
- [c8]Ziyu Lin, Dongzhan Zhang, Chen Lin, Yongxuan Lai, Quan Zou:
Performance Optimization of Analysis Rules in Real-Time Active Data Warehouses. APWeb 2012: 669-676 - [c7]Mingxia Lin, Shi-chang Hu, Cuihua Li, Taisong Jin, Quan Zou:
Location and Route Tracking in University from Photos without GPS Information. PCM 2012: 697-706 - 2011
- [c6]Ziyu Lin, Yongxuan Lai, Chen Lin, Yi Xie, Quan Zou:
Maintaining Internal Consistency of Report for Real-Time OLAP with Layer-Based View. APWeb 2011: 143-154 - 2010
- [c5]Qicong Wang, Shaoling Shang, QingKai Zhen, Yan Li, Quan Zou:
Automatic extraction of ocean internal waves based on multi-scale fusion and elliptical tracking region method. ICIMCS 2010: 77-82 - 2009
- [c4]Quan Zou, Maozu Guo, Chun-yu Wang, Yingpeng Han, Wenbin Li:
Novel H/ACA Box snoRNA Mining and Secondary Structure Prediction Algorithms. RSKT 2009: 538-546 - 2008
- [c3]Quan Zou, Maozu Guo, Yang Liu, Zhi-An Xing:
A Novel Comparative Sequence Analysis Method for ncRNA Secondary Structure Prediction without Multiple Sequence Alignment. ICNC (5) 2008: 29-33 - [c2]Lei Xu, Maozu Guo, Quan Zou, Yang Liu, Haifeng Li:
An Improved Diverse Density Algorithm for Multiple Overlapped Instances. ICNC (3) 2008: 88-91 - 2007
- [c1]Taotao Zhang, Maozu Guo, Quan Zou:
RNA Secondary Structure Prediction Based on Forest Representation and Genetic Algorithm. ICNC (4) 2007: 370-374
Editorship
- 2021
- [e1]Shiping Wen, Cihui Yang, Qishen Li, Quan Zou:
BECB 2021: 2021 International Symposium on Biomedical Engineering and Computational Biology, Nanchang, China, August 13 - 15, 2021. ACM 2021, ISBN 978-1-4503-8411-7 [contents]
Informal and Other Publications
- 2024
- [i8]Yuqing Qian, Ziyu Zheng, Prayag Tiwari, Yijie Ding, Quan Zou:
Multiple Kronecker RLS fusion-based link propagation for drug-side effect prediction. CoRR abs/2407.00105 (2024) - 2023
- [i7]Yizheng Wang, Yixiao Zhai, Yijie Ding, Quan Zou:
SBSM-Pro: Support Bio-sequence Machine for Proteins. CoRR abs/2308.10275 (2023) - 2022
- [i6]Yu Wang, Chao Pang, Yuzhe Wang, Yi Jiang, Junru Jin, Sirui Liang, Quan Zou, Leyi Wei:
MechRetro is a chemical-mechanism-driven graph learning framework for interpretable retrosynthesis prediction and pathway planning. CoRR abs/2210.02630 (2022) - 2019
- [i5]Zengyou He, Chaohua Sheng, Yan Liu, Quan Zou:
Instance-Based Classification through Hypothesis Testing. CoRR abs/1901.00560 (2019) - [i4]Zengyou He, Guangyao Xu, Chaohua Sheng, Bo Xu, Quan Zou:
Reference-Based Sequence Classification. CoRR abs/1905.07188 (2019) - 2017
- [i3]Quan Zou, Shixiang Wan, Ying Ju, Jijun Tang, Xiangxiang Zeng:
Pretata: predicting TATA binding proteins with novel features and dimensionality reduction strategy. CoRR abs/1703.02850 (2017) - [i2]Shixiang Wan, Quan Zou:
HAlign-II: efficient ultra-large multiple sequence alignment and phylogenetic tree reconstruction with distributed and parallel computing. CoRR abs/1704.00878 (2017) - [i1]Shixiang Wan, Quan Zou:
HPSLPred: An Ensemble Multi-label Classifier for Human Protein Subcellular Location Prediction with Imbalanced Source. CoRR abs/1704.05204 (2017)
Coauthor Index
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