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2020 – today
- 2024
[j88]Shiqiang Ma
, Xuejian Li, Jijun Tang, Fei Guo:
Aggregate-aware model with bidirectional edge generation for medical image segmentation. Appl. Soft Comput. 163: 111918 (2024)- [j87]Mingliang Dou, Jijun Tang, Prayag Tiwari, Yijie Ding, Fei Guo:
Drug-Drug Interaction Relation Extraction Based on Deep Learning: A Review. ACM Comput. Surv. 56(6): 158:1-158:33 (2024) - [j86]Xuejian Li, Shiqiang Ma, Junhai Xu, Jijun Tang, Shengfeng He, Fei Guo:
TranSiam: Aggregating multi-modal visual features with locality for medical image segmentation. Expert Syst. Appl. 237(Part C): 121574 (2024) - [j85]Rui Xin, Limin Jiang, Hui Yu, Fengyao Yan, Jijun Tang, Yan Guo:
Comprehensive cross cancer analyses reveal mutational signature cancer specificity. Quant. Biol. 12(3): 245-254 (2024) - [j84]Ke Ma, Jiawei Li, Mengyuan Zhao, Ibrahim Zamit, Bin Lin, Fei Guo, Jijun Tang:
PPRTGI: A Personalized PageRank Graph Neural Network for TF-Target Gene Interaction Detection. IEEE ACM Trans. Comput. Biol. Bioinform. 21(3): 480-491 (2024) - [j83]Cong Shen, Dongdong Mao, Jijun Tang, Zhijun Liao, Shengyong Chen:
Prediction of LncRNA-Protein Interactions Based on Kernel Combinations and Graph Convolutional Networks. IEEE J. Biomed. Health Informatics 28(4): 1937-1948 (2024) - [c64]Xianghua Kong, Cong Shen, Jijun Tang:
CUK-Band: A CUDA-Based Multiple Genomic Sequence Alignment on GPU. ICIC (LNBI 2) 2024: 84-95 - [c63]Haonan Hu, Shuge Lei, Desheng Sun, Huabin Zhang, Kehong Yuan, Jian Dai, Jijun Tang, Yan Tong, Qiongyu Ye:
Dual-Channel Reliable Breast Ultrasound Image Classification Based on Explainable Attribution and Uncertainty Quantification. IPMV 2024: 53-61 - [i7]Shuge Lei, Haonan Hu, Dasheng Sun, Huabin Zhang, Kehong Yuan, Jian Dai, Jijun Tang, Yan Tong:
Dual-Channel Reliable Breast Ultrasound Image Classification Based on Explainable Attribution and Uncertainty Quantification. CoRR abs/2401.03664 (2024) - [i6]Xiaoyi Liu, Hongpeng Yang, Chengwei Ai, Ruihan Dong, Yijie Ding, Qianqian Yuan, Jijun Tang, Fei Guo:
A generalizable framework for unlocking missing reactions in genome-scale metabolic networks using deep learning. CoRR abs/2409.13259 (2024) - 2023
- [j82]Mingliang Dou, Jiaqi Ding, Genlang Chen, Junwen Duan, Fei Guo, Jijun Tang:
IK-DDI: a novel framework based on instance position embedding and key external text for DDI extraction. Briefings Bioinform. 24(3) (2023) - [j81]Qiaozhen Meng, Fei Guo, Jijun Tang:
Improved structure-related prediction for insufficient homologous proteins using MSA enhancement and pre-trained language model. Briefings Bioinform. 24(4) (2023) - [j80]Xiaoyi Liu, Hongpeng Yang, Chengwei Ai, Yijie Ding, Fei Guo, Jijun Tang:
MVML-MPI: Multi-View Multi-Label Learning for Metabolic Pathway Inference. Briefings Bioinform. 24(6) (2023) - [j79]Limin Jiang, Hui Yu, Jijun Tang, Yan Guo:
CoMutDB: the landscape of somatic mutation co-occurrence in cancers. Bioinform. 39(1) (2023) - [j78]Qiaozhen Meng, Fei Guo, Ercheng Wang, Jijun Tang:
ComDock: A novel approach for protein-protein docking with an efficient fusing strategy. Comput. Biol. Medicine 167: 107660 (2023) - [j77]Jiaqi Ding, Junhai Xu, Jianguo Wei, Jijun Tang, Fei Guo:
A multi-scale multi-model deep neural network via ensemble strategy on high-throughput microscopy image for protein subcellular localization. Expert Syst. Appl. 212: 118744 (2023) - [j76]Chengwei Ai, Prayag Tiwari, Hongpeng Yang, Yijie Ding, Jijun Tang, Fei Guo:
Identification of DNA N4-methylcytosine Sites via Multiview Kernel Sparse Representation Model. IEEE Trans. Artif. Intell. 4(5): 1236-1245 (2023) - [j75]Nan Gao, Yongjian Wang, Peng Chen, Jijun Tang:
Boosting Short Text Classification by Solving the OOV Problem. IEEE ACM Trans. Audio Speech Lang. Process. 31: 4014-4024 (2023) - [j74]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) - [j73]Chengwei Ai, Hongpeng Yang, Yijie Ding, Jijun Tang, Fei Guo:
Low Rank Matrix Factorization Algorithm Based on Multi-Graph Regularization for Detecting Drug-Disease Association. IEEE ACM Trans. Comput. Biol. Bioinform. 20(5): 3033-3043 (2023) - [c62]Nan Gao, Peng Chen, Yukai Li, Jijun Tang, Ronghua Liang, Tianshuang Liu:
BTCN: Bridging the Gap Between Pre-trained and Downstream Models for Endoscopic Caries Detection. BIBM 2023: 857-862 - [c61]Jiawei Li, Shizhan Chen, Shiqiang Ma, Fei Guo, Jijun Tang:
MixUNet: Mix the 2D and 3D Models for Robust Medical Image Segmentation. BIBM 2023: 1242-1247 - [c60]Cong Shen, Xinyue Wang, Jijun Tang, Zhijun Liao:
DETA-Net: A Dual Encoder Network with Text-Guided Attention Mechanism for Skin-Lesions Segmentation. ICIC (3) 2023: 28-40 - [c59]Dongdong Mao, Cong Shen, Ruilin Wu, Yuyang Han, Yankai Wu, Jinxuan Wang, Jijun Tang, Zhijun Liao:
Prediction of LncRNA-Protein Interactions Based on Multi-kernel Fusion and Graph Auto-Encoders. ICIC (3) 2023: 405-415 - 2022
- [j72]Yijie Ding, Chao Yang, Jijun Tang, Fei Guo:
Identification of protein-nucleotide binding residues via graph regularized k-local hyperplane distance nearest neighbor model. Appl. Intell. 52(6): 6598-6612 (2022) - [j71]Leyao Wang, Yijie Ding, Junhai Xu, Wenhuan Lu, Jijun Tang, Fei Guo:
Identification of DNA N4-methylcytosine sites via fuzzy model on self representation. Appl. Soft Comput. 122: 108840 (2022) - [j70]Yingxin Kan, Limin Jiang, Yan Guo, Jijun Tang, Fei Guo:
Two-stage-vote ensemble framework based on integration of mutation data and gene interaction network for uncovering driver genes. Briefings Bioinform. 23(1) (2022) - [j69]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) - [j68]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) - [j67]Xuejian Li, Shiqiang Ma, Jin Liu, Jijun Tang, Fei Guo:
Inferring gene regulatory network via fusing gene expression image and RNA-seq data. Bioinform. 38(6): 1716-1723 (2022) - [j66]Cong Shen, Yu Chen, Feng Xiao, Tian Yang, Xinyue Wang, Shengyong Chen, Jijun Tang, Zhijun Liao:
BAT-Net: An enhanced RNA Secondary Structure prediction via bidirectional GRU-based network with attention mechanism. Comput. Biol. Chem. 101: 107765 (2022) - [j65]Chengwei Ai, Hongpeng Yang, Yijie Ding, Jijun Tang, Fei Guo:
A multi-layer multi-kernel neural network for determining associations between non-coding RNAs and diseases. Neurocomputing 493: 91-105 (2022) - [j64]Hongpeng Yang, Yijie Ding, Jijun Tang, Fei Guo:
Inferring human microbe-drug associations via multiple kernel fusion on graph neural network. Knowl. Based Syst. 238: 107888 (2022) - [j63]Xuejian Li, Jiaqi Ding, Jijun Tang, Fei Guo:
Res2Unet: A multi-scale channel attention network for retinal vessel segmentation. Neural Comput. Appl. 34(14): 12001-12015 (2022) - [j62]Yuqian Pu, Jiawei Li, Jijun Tang, Fei Guo:
DeepFusionDTA: Drug-Target Binding Affinity Prediction With Information Fusion and Hybrid Deep-Learning Ensemble Model. IEEE ACM Trans. Comput. Biol. Bioinform. 19(5): 2760-2769 (2022) - [j61]Haohao Zhou, Hao Wang, Jijun Tang, Yijie Ding, Fei Guo:
Identify ncRNA Subcellular Localization via Graph Regularized $k$k-Local Hyperplane Distance Nearest Neighbor Model on Multi-Kernel Learning. IEEE ACM Trans. Comput. Biol. Bioinform. 19(6): 3517-3529 (2022) - [c58]Jiawei Li, Fan Yang, Fang Wang, Yu Rong, Peilin Zhao, Shizhan Chen, Jianhua Yao, Jijun Tang, Fei Guo:
Integrating Prior Knowledge with Graph Encoder for Gene Regulatory Inference from Single-cell RNA-Seq Data. BIBM 2022: 102-107 - [c57]Mingliang Dou, Han Han, Genlang Chen, Fei Guo, Jijun Tang:
BP-DDI: Drug-drug interaction prediction based on biological information and pharmacological text. BIBM 2022: 410-415 - [c56]Nanxing Zhang, Shiqiang Ma, Xuejian Li, Jiahui Zhang, Jijun Tang, Fei Guo:
Multi-scale Neighborhood Attention Transformer on U-Net for Medical Image Segmentation. BIBM 2022: 1381-1386 - [i5]Xuejian Li, Shiqiang Ma, Jijun Tang, Fei Guo:
TranSiam: Fusing Multimodal Visual Features Using Transformer for Medical Image Segmentation. CoRR abs/2204.12185 (2022) - [i4]Shiqiang Ma, Xuejian Li, Jijun Tang, Fei Guo:
EAA-Net: Rethinking the Autoencoder Architecture with Intra-class Features for Medical Image Segmentation. CoRR abs/2208.09197 (2022) - 2021
- [j60]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) - [j59]Hongpeng Yang, Yijie Ding, Jijun Tang, Fei Guo:
Drug-disease associations prediction via Multiple Kernel-based Dual Graph Regularized Least Squares. Appl. Soft Comput. 112: 107811 (2021) - [j58]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) - [j57]Hao Wang, Jijun Tang, Yijie Ding, Fei Guo:
Exploring associations of non-coding RNAs in human diseases via three-matrix factorization with hypergraph-regular terms on center kernel alignment. Briefings Bioinform. 22(5) (2021) - [j56]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) - [j55]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) - [j54]Limin Jiang, Hui Yu, Jiawei Li, Jijun Tang, Yan Guo, Fei Guo:
Predicting MHC class I binder: existing approaches and a novel recurrent neural network solution. Briefings Bioinform. 22(6) (2021) - [j53]Wei Zhang, Qiaozhen Meng, Jijun Tang, Fei Guo:
Exploring effectiveness of ab-initio protein-protein docking methods on a novel antibacterial protein complex dataset. Briefings Bioinform. 22(6) (2021) - [j52]Yuqing Qian, Limin Jiang, Yijie Ding, Jijun Tang, Fei Guo:
A sequence-based multiple kernel model for identifying DNA-binding proteins. BMC Bioinform. 22-S(3): 291 (2021) - [j51]Zhijun Liao, Gaofeng Pan, Chao Sun, Jijun Tang:
Predicting subcellular location of protein with evolution information and sequence-based deep learning. BMC Bioinform. 22-S(10): 515 (2021) - [j50]Yijie Ding, Jijun Tang, Fei Guo:
Identification of drug-target interactions via multi-view graph regularized link propagation model. Neurocomputing 461: 618-631 (2021) - [j49]Chao Yang, Yijie Ding, Qiaozhen Meng, Jijun Tang, Fei Guo:
Granular multiple kernel learning for identifying RNA-binding protein residues via integrating sequence and structure information. Neural Comput. Appl. 33(17): 11387-11399 (2021) - [j48]Yubo Wang, Yijie Ding, Jijun Tang, Yu Dai, Fei Guo:
CrystalM: A Multi-View Fusion Approach for Protein Crystallization Prediction. IEEE ACM Trans. Comput. Biol. Bioinform. 18(1): 325-335 (2021) - [j47]Jinhao Zhang, Zehua Zhang, Lianrong Pu, Jijun Tang, Fei Guo:
AIEpred: An Ensemble Predictive Model of Classifier Chain to Identify Anti-Inflammatory Peptides. IEEE ACM Trans. Comput. Biol. Bioinform. 18(5): 1831-1840 (2021) - [j46]Yijie Ding, Jijun Tang, Fei Guo:
Protein Crystallization Identification via Fuzzy Model on Linear Neighborhood Representation. IEEE ACM Trans. Comput. Biol. Bioinform. 18(5): 1986-1995 (2021) - [j45]Zehua Zhang, Jiaqi Ding, Junhai Xu, Jijun Tang, Fei Guo:
Multi-Scale Time-Series Kernel-Based Learning Method for Brain Disease Diagnosis. IEEE J. Biomed. Health Informatics 25(1): 209-217 (2021) - [c55]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 - [c54]Mingliang Dou, Jijun Tang, Fei Guo:
Document-level DDI relation extraction with document-entity embedding. BIBM 2021: 392-397 - [c53]Qiaozhen Meng, Jijun Tang, Fei Guo:
Multi-AMP: detecting the antimicrobial peptides and their activities using the multi-task learning. BIBM 2021: 710-713 - [c52]Shiqiang Ma, Xuejian Li, Jijun Tang, Fei Guo:
MIASNet: A medical image segmentation method predicting future based on past and current cases. BIBM 2021: 1014-1019 - [c51]Shiqiang Ma, Xuejian Li, Zehua Zhang, Jijun Tang, Fei Guo:
GEU-Net: Rethinking the information transmission in the skip connection of U-Net architecture. BIBM 2021: 1020-1025 - [c50]Feng Xiao, Cong Shen, Yu Chen, Tian Yang, Shengyong Chen, Zhijun Liao, Jijun Tang:
RCGA-Net: An Improved Multi-hybrid Attention Mechanism Network in Biomedical Image Segmentation. BIBM 2021: 1112-1118 - [c49]Shiqiang Ma, Xuejian Li, Jijun Tang, Fei Guo:
A Zero-Shot Method for 3D Medical Image Segmentation. ICME 2021: 1-6 - 2020
- [j44]Yijie Ding, Jijun Tang, Fei Guo:
Human protein subcellular localization identification via fuzzy model on Kernelized Neighborhood Representation. Appl. Soft Comput. 96: 106596 (2020) - [j43]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) - [j42]Zhaojuan Zhang, Wanliang Wang, Ruofan Xia, Gaofeng Pan, Jiandong Wang, Jijun Tang:
Achieving large and distant ancestral genome inference by using an improved discrete quantum-behaved particle swarm optimization algorithm. BMC Bioinform. 21(1): 516 (2020) - [j41]Yijie Ding, Limin Jiang, Jijun Tang, Fei Guo:
Identification of human microRNA-disease association via hypergraph embedded bipartite local model. Comput. Biol. Chem. 89: 107369 (2020) - [j40]Hao Wang, Yijie Ding, Jijun Tang, Fei Guo:
Identification of membrane protein types via multivariate information fusion with Hilbert-Schmidt Independence Criterion. Neurocomputing 383: 257-269 (2020) - [j39]Zongyu Wang, Wenying He, Jijun Tang, Fei Guo:
Identification of Highest-Affinity Binding Sites of Yeast Transcription Factor Families. J. Chem. Inf. Model. 60(3): 1876-1883 (2020) - [j38]Yijie Ding, Jijun Tang, Fei Guo:
Identification of Drug-Target Interactions via Dual Laplacian Regularized Least Squares with Multiple Kernel Fusion. Knowl. Based Syst. 204: 106254 (2020) - [j37]Yijie Ding, Jijun Tang, Fei Guo:
Identification of drug-target interactions via fuzzy bipartite local model. Neural Comput. Appl. 32(14): 10303-10319 (2020) - [j36]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) - [c48]Jinhao Zhang, Shuhao Li, Yijie Ding, Jijun Tang, Fei Guo:
An two-layer predictive model of ensemble classifier chain for detecting antimicrobial peptides. BIBM 2020: 56-61 - [c47]Jie Song, Jiawei Li, Shiqiang Ma, Jijun Tang, Fei Guo:
Melanoma Classification in Dermoscopy Images via Ensemble Learning on Deep Neural Network. BIBM 2020: 751-756 - [c46]Shiqiang Ma, Zehua Zhang, Jiaqi Ding, Xuejian Li, Jijun Tang, Fei Guo:
A Deep Supervision CNN Network for Brain Tumor Segmentation. BrainLes@MICCAI (2) 2020: 158-167
2010 – 2019
- 2019
- [j35]Cong Shen, Yijie Ding, Jijun Tang, Limin Jiang, Fei Guo:
LPI-KTASLP: Prediction of LncRNA-Protein Interaction by Semi-Supervised Link Learning With Multivariate Information. IEEE Access 7: 13486-13496 (2019) - [j34]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) - [j33]Yijie Ding, Jijun Tang, Fei Guo:
Identification of drug-side effect association via multiple information integration with centered kernel alignment. Neurocomputing 325: 211-224 (2019) - [j32]Ruofan Xia, Yu Lin, Jun Zhou, Tieming Geng, Bing Feng, Jijun Tang:
Phylogenetic Reconstruction for Copy-Number Evolution Problems. IEEE ACM Trans. Comput. Biol. Bioinform. 16(2): 694-699 (2019) - [j31]Yijie Ding, Jijun Tang, Fei Guo:
Identification of Drug-Side Effect Association via Semisupervised Model and Multiple Kernel Learning. IEEE J. Biomed. Health Informatics 23(6): 2619-2632 (2019) - [c45]Yijie Ding, Jijun Tang, Fei Guo:
Identification of DNA-Binding Proteins via Fuzzy Multiple Kernel Model and Sequence Information. ICIC (2) 2019: 468-479 - [c44]Bing Feng, Ying-Yong Zhao, Jiexi Wang, Hui Yu, Shiva Potu, Jiandong Wang, Jijun Tang, Yan Guo:
The Application of Machine Learning Algorithms to Diagnose CKD Stages and Identify Critical Metabolites Features. IWBBIO (1) 2019: 72-83 - 2018
- [j30]Zehua Zhang, Jian Song, Jijun Tang, Xinying Xu, Fei Guo:
Detecting complexes from edge-weighted PPI networks via genes expression analysis. BMC Syst. Biol. 12(4): 29-40 (2018) - [j29]S. Mo Jang, Tieming Geng, Jo-Yun Queenie Li, Ruofan Xia, Chin-Tser Huang, Hwalbin Kim, Jijun Tang:
A computational approach for examining the roots and spreading patterns of fake news: Evolution tree analysis. Comput. Hum. Behav. 84: 103-113 (2018) - [j28]Yan Zhang, William Hoskins, Ruofan Xia, Xiya Xia, Jim W. Zheng, Jijun Tang:
A flexible approach to reconstruct the genomic spatial structure by the genetic algorithm. Int. J. Comput. Biol. Drug Des. 11(1/2): 39-51 (2018) - [j27]Ruofan Xia, Yu Lin, Jun Zhou, Bing Feng, Jijun Tang:
A Median Solver and Phylogenetic Inference Based on Double-Cut-and-Join Sorting. J. Comput. Biol. 25(3): 302-312 (2018) - [j26]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) - [j25]Jijun Tang, Lu Tian, Yi-Ping Phoebe Chen:
Guest Editorial for the 14th Asia Pacific Bioinformatics Conference. IEEE ACM Trans. Comput. Biol. Bioinform. 15(2): 396-397 (2018) - 2017
- [j24]Zehua Zhang, Kecheng Guo, Gaofeng Pan, Jijun Tang, Fei Guo:
Improvement of phylogenetic method to analyze compositional heterogeneity. BMC Syst. Biol. 11(S-4): 27-33 (2017) - [j23]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) - [j22]Yijie Ding, Jijun Tang, Fei Guo:
Identification of drug-target interactions via multiple information integration. Inf. Sci. 418: 546-560 (2017) - [j21]Yijie Ding, Jijun Tang, Fei Guo:
Identification of Protein-Ligand Binding Sites by Sequence Information and Ensemble Classifier. J. Chem. Inf. Model. 57(12): 3149-3161 (2017) - [c43]Yan Zhang, Bo Zhang, W. Jim Zheng, Jijun Tang, Feng Yue:
HiCComp: Multiple-level comparative analysis of Hi-C data by triplet network. BIBM 2017: 92-96 - [c42]Bing Feng, David C. Samuels, William Hoskins, Yan Guo, Yan Zhang, Jijun Tang, Zibo Meng:
Down syndrome prediction/screening model based on deep learning and illumina genotyping array. BIBM 2017: 347-352 - [c41]Ruofan Xia, Jun Zhou, Lingxi Zhou, Bing Feng, Jijun Tang:
A Median Solver and Phylogenetic Inference Based on DCJ Sorting. ISBRA 2017: 211-222 - [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]Zhaoming Yin, Jijun Tang, Stephen W. Schaeffer, David A. Bader:
Exemplar or Matching: Modeling DCJ Problems with Unequal Content Genome Data. CoRR abs/1705.06559 (2017) - 2016
- [j20]Jun Zhou, Yu Lin, Vaibhav Rajan, William Hoskins, Bing Feng, Jijun Tang:
Analysis of gene copy number changes in tumor phylogenetics. Algorithms Mol. Biol. 11: 26 (2016) - [j19]Yijie Ding, Jijun Tang, Fei Guo:
Predicting protein-protein interactions via multivariate mutual information of protein sequences. BMC Bioinform. 17: 398 (2016) - [j18]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) - [j17]Jijun Tang, Lu Tian, Yi-Ping Phoebe Chen:
Guest Editorial for the 14th Asia Pacific Bioinformatics Conference (APBC2016). Comput. Biol. Chem. 63: 1-2 (2016) - [j16]Zhao Li, Jijun Tang, Fei Guo:
Learning from real imbalanced data of 14-3-3 proteins binding specificity. Neurocomputing 217: 83-91 (2016) - [j15]Zhaoming Yin, Jijun Tang, Stephen W. Schaeffer, David A. Bader:
Exemplar or matching: modeling DCJ problems with unequal content genome data. J. Comb. Optim. 32(4): 1165-1181 (2016) - 2015
- [j14]Fei Guo, Yijie Ding, Zhao Li, Jijun Tang:
Identification of Protein-Protein Interactions by Detecting Correlated Mutation at the Interface. J. Chem. Inf. Model. 55(9): 2042-2049 (2015) - [j13]Nan Gao, Yan Zhang, Bing Feng, Jijun Tang:
A Cooperative Co-Evolutionary Genetic Algorithm for Tree Scoring and Ancestral Genome Inference. IEEE ACM Trans. Comput. Biol. Bioinform. 12(6): 1248-1254 (2015) - [c40]Lingxi Zhou, William Hoskins, Jieyi Zhao, Jijun Tang:
Ancestral reconstruction under weighted maximum matching. BIBM 2015: 1448-1455 - [c39]Jun Zhou, Yu Lin, William Hoskins, Jijun Tang:
An Iterative Approach for Phylogenetic Analysis of Tumor Progression Using FISH Copy Number. ISBRA 2015: 402-412 - [c38]Jun Zhou, Yu Lin, Vaibhav Rajan, William Hoskins, Jijun Tang:
Maximum Parsimony Analysis of Gene Copy Number Changes. WABI 2015: 108-120 - 2014
- [j12]Fei Hu, Yu Lin, Jijun Tang:
MLGO: phylogeny reconstruction and ancestral inference from gene-order data. BMC Bioinform. 15: 354 (2014) - [j11]Fei Hu, Jun Zhou, Lingxi Zhou, Jijun Tang:
Probabilistic Reconstruction of Ancestral Gene Orders with Insertions and Deletions. IEEE ACM Trans. Comput. Biol. Bioinform. 11(4): 667-672 (2014) - [c37]Jun Zhou, Fei Hu, William Hoskins, Jijun Tang:
Assessing ancestral genome reconstruction methods by resampling. BIBM 2014: 25-31 - [c36]Zhaoming Yin, Jijun Tang, Stephen W. Schaeffer, David A. Bader:
A Lin-Kernighan Heuristic for the DCJ Median Problem of Genomes with Unequal Contents. COCOON 2014: 227-238 - [c35]W. Jim Zheng, Jingcheng Du, Jijun Tang, Cui Tao:
GSO: A Semantic Web Ontology to Capture 3D Genome Structure. SWAT4LS 2014 - 2013
- [c34]Jeremiah J. Shepherd, Lingxi Zhou, Yan Zhang, W. Jim Zheng, Jijun Tang:
Exploring genomes with a game engine. BIBM 2013: 26-30 - [c33]Jeremiah J. Shepherd, Bill Arndt, W. Jim Zheng, Yun Zhu, Jijun Tang:
Exploring genomes with a game engine. FDG 2013: 447-448 - [c32]Zhaoming Yin, Jijun Tang, Stephen W. Schaeffer, David A. Bader:
Streaming Breakpoint Graph Analytics for Accelerating and Parallelizing the Computation of DCJ Median of Three Genomes. ICCS 2013: 561-570 - [c31]Fei Hu, Lingxi Zhou, Jijun Tang:
Reconstructing Ancestral Genomic Orders Using Binary Encoding and Probabilistic Models. ISBRA 2013: 17-27 - [c30]Yu Lin, Fei Hu, Jijun Tang, Bernard M. E. Moret:
Maximum Likelihood Phylogenetic Reconstruction from High-Resolution Whole-Genome Data and a Tree of 68 Eukaryotes. Pacific Symposium on Biocomputing 2013: 285-296 - [p2]Bernard M. E. Moret, Yu Lin, Jijun Tang:
Rearrangements in Phylogenetic Inference: Compare, Model, or Encode? Models and Algorithms for Genome Evolution 2013: 147-171 - 2012
- [j10]Yiwei Zhang, Fei Hu, Jijun Tang:
A mixture framework for inferring ancestral gene orders. BMC Genom. 13(S-1): S7 (2012) - [j9]Liang Hu, Meng Zhang, Yi Zhang, Jijun Tang:
Label-Guided Graph Exploration with Adjustable Ratio of Labels. Int. J. Found. Comput. Sci. 23(4): 903-930 (2012) - [e1]Benjamin J. Raphael, Jijun Tang:
Algorithms in Bioinformatics - 12th International Workshop, WABI 2012, Ljubljana, Slovenia, September 10-12, 2012. Proceedings. Lecture Notes in Computer Science 7534, Springer 2012, ISBN 978-3-642-33121-3 [contents] - [i1]Meng Zhang, Yi Zhang, Jijun Tang:
Label-Guided Graph Exploration with Adjustable Ratio of Labels. CoRR abs/1204.2955 (2012) - 2011
- [j8]Meng Zhang, Yi Zhang, Jijun Tang, Xiaolong Bai:
Multi-pattern Matching with Wildcards. J. Softw. 6(12): 2391-2398 (2011) - [c29]Jeremiah J. Shepherd, Renaldo J. Doe, Matthew Arnold, Nancy Cheek, Yun Zhu, Jijun Tang:
Lost in the Middle Kingdom: a second language acquisition video game. ACM Southeast Regional Conference 2011: 290-294 - [c28]William Arndt, Jijun Tang:
Emulating Insertion and Deletion Events in Genome Rearrangement Analysis. BIBM 2011: 105-108 - [c27]William Arndt, Thomas M. Asbury, W. Jim Zheng, Matt Mitman, Jijun Tang:
Genome3D: A viewer-model framework for integrating and visualizing multi-scale epigenomic information within a three-dimensional genome. BIBM Workshops 2011: 936-938 - [c26]Fei Hu, Nan Gao, Meng Zhang, Jijun Tang:
Maximum likelihood phylogenetic reconstruction using gene order encodings. CIBCB 2011: 117-122 - [c25]Jian Shi, William Arndt, Fei Hu, Jijun Tang:
Isolating - a new resampling method for gene order data. CIBCB 2011: 135-140 - [c24]Jeremiah J. Shepherd, Renaldo J. Doe, Matthew Arnold, Yun Zhu, Jijun Tang:
A different approach to teaching Chinese through serious games. FDG 2011: 304-306 - 2010
- [j7]Jian Shi, Yiwei Zhang, Haiwei Luo, Jijun Tang:
Using jackknife to assess the quality of gene order phylogenies. BMC Bioinform. 11: 168 (2010) - [j6]Thomas M. Asbury, Matt Mitman, Jijun Tang, W. Jim Zheng:
Genome3D: A viewer-model framework for integrating and visualizing multi-scale epigenomic information within a three-dimensional genome. BMC Bioinform. 11: 444 (2010) - [c23]Yiwei Zhang, Fei Hu, Jijun Tang:
Phylogenetic reconstruction with gene rearrangements and gene losses. BIBM 2010: 35-38 - [c22]Meng Zhang, Yi Zhang, Jijun Tang:
Matching a Set of Patterns with Wildcards. PAAP 2010: 169-174
2000 – 2009
- 2009
- [j5]Krister M. Swenson, Yokuki To, Jijun Tang, Bernard M. E. Moret:
Maximum independent sets of commuting and noninterfering inversions. BMC Bioinform. 10(S-1) (2009) - [j4]Feng Yue, Jian Shi, Jijun Tang:
Simultaneous phylogeny reconstruction and multiple sequence alignment. BMC Bioinform. 10(S-1) (2009) - [j3]Feng Yue, Jijun Tang:
A space-efficient algorithm for three sequence alignment and ancestor inference. Int. J. Data Min. Bioinform. 3(2): 192-204 (2009) - [c21]Meng Zhang, William Arndt, Jijun Tang:
An Exact Solver for the DCJ Median Problem. Pacific Symposium on Biocomputing 2009: 138-149 - 2008
- [j2]William Arndt, Jijun Tang:
Improving Reversal Median Computation Using Commuting Reversals and Cycle Information. J. Comput. Biol. 15(8): 1079-1092 (2008) - [c20]Krister M. Swenson, William Arndt, Jijun Tang, Bernard M. E. Moret:
Phylogenetic Reconstruction from Complete Gene Orders of Whole Genomes. APBC 2008: 241-250 - [c19]Yan Guo, Fei Ye, Jijun Tang:
Phylogenetic reconstruction with disk-covering and Bayesian approaches. BIBE 2008: 1-6 - [c18]Feng Yue, Jijun Tang:
A New Approach for Tree Alignment Based on Local Re-Optimization. BMEI (1) 2008: 34-38 - [c17]Meng Zhang, William Arndt, Jijun Tang:
A Branch-and-Bound Method for the Multichromosomal Reversal Median Problem. WABI 2008: 14-24 - 2007
- [c16]Feng Yue, Meng Zhang, Jijun Tang:
A Heuristic for Phylogenetic Reconstruction Using Transposition. BIBE 2007: 802-808 - [c15]Jason D. Bakos, Panormitis E. Elenis, Jijun Tang:
FPGA Acceleration of Phylogeny Reconstruction for Whole Genome Data. BIBE 2007: 888-895 - [c14]Feng Yue, Jijun Tang:
A Divide-and-Conquer Implementation of Three Sequence Alignment and Ancestor Inference. BIBM 2007: 143-150 - [c13]Feng Yue, Jijun Tang:
Three Sequence Alignment and Ancestor Inference with Affine Gap Costs. BIOCOMP 2007: 731-737 - [c12]Pahal Dalal, Brent C. Munsell, Song Wang, Jijun Tang, Kenton Oliver, Hiroaki Ninomiya, Xiangrong Zhou, Hiroshi Fujita:
A Fast 3D Correspondence Method for Statistical Shape Modeling. CVPR 2007 - [c11]William Arndt, Jijun Tang:
Improving Inversion Median Computation Using Commuting Reversals and Cycle Information. RECOMB-CG 2007: 30-44 - [c10]Fei Ye, Yan Guo, Andrew Lawson, Jijun Tang:
Improving Tree Search in Phylogenetic Reconstruction from Genome Rearrangement Data. WEA 2007: 352-364 - [p1]Bernard M. E. Moret, Jijun Tang, Tandy J. Warnow:
Reconstructing phylogenies from gene-content and gene-order data. Mathematics of Evolution and Phylogeny 2007 - 2006
- [c9]Liying Cui, Feng Yue, Claude W. dePamphilis, Bernard M. E. Moret, Jijun Tang:
Inferring Ancestral Chloroplast Genomes with Inverted Repea. BIOCOMP 2006: 75-81 - [c8]Meng Zhang, Jijun Tang, Dong Guo, Liang Hu, Qiang Li:
Succinct Text Indexes on Large Alphabet. TAMC 2006: 528-537 - 2005
- [c7]Jijun Tang, Li-San Wang:
Improving Genome Rearrangement Phylogeny Using Sequence-Style Parsimony. BIBE 2005: 137-144 - [c6]Tao Liu, Jijun Tang, Bernard M. E. Moret:
Quartet-Based Phylogeny Reconstruction from Gene Orders. COCOON 2005: 63-73 - [c5]Jijun Tang, Bernard M. E. Moret:
Linear Programming for Phylogenetic Reconstruction Based on Gene Rearrangements. CPM 2005: 406-416 - 2004
- [c4]Jijun Tang, Bernard M. E. Moret, Liying Cui, Claude W. dePamphilis:
Phylogenetic Reconstruction from Arbitrary Gene-Order Data. BIBE 2004: 592-599 - 2003
- [c3]Jijun Tang, Bernard M. E. Moret:
Scaling up accurate phylogenetic reconstruction from gene-order data. ISMB (Supplement of Bioinformatics) 2003: 305-312 - [c2]Jijun Tang, Bernard M. E. Moret:
Phylogenetic Reconstruction from Gene-Rearrangement Data with Unequal Gene Content. WADS 2003: 37-46 - 2002
- [j1]Bernard M. E. Moret, Jijun Tang, Li-San Wang, Tandy J. Warnow:
Steps toward accurate reconstructions of phylogenies from gene-order data. J. Comput. Syst. Sci. 65(3): 508-525 (2002) - [c1]Bernard M. E. Moret, Adam C. Siepel, Jijun Tang, Tao Liu:
Inversion Medians Outperform Breakpoint Medians in Phylogeny Reconstruction from Gene-Order Data. WABI 2002: 521-536
Coauthor Index
[j88] [j87] [j86] [j84] [i6] [j82] [j81] [j80] [j78] [j77] [j76] [j74] [j73] [c61] [j72] [j71] [j70] [j69] [j68] [j67] [j65] [j64] [j63] [j62] [j61] [c58] [c57] [c56] [i5] [i4] [j59] [j58] [j57] [j56] [j55] [j54] [j53] [j52] [j50] [j49] [j48] [j47] [j46] [j45] [c54] [c53] [c52] [c51] [c49] [j44] [j43] [j41] [j40] [j39] [j38] [j37] [j36] [c48] [c47] [c46] [j35] [j34] [j33] [j31] [c45] [j30] [j24] [j22] [j21] [j19] [j16] [j14]
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