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ORCIDYi Xiong 0002
Person information
- affiliation: Shanghai Jiao Tong University, Shanghai, China
Other persons with the same name
- Yi Xiong — disambiguation page
- Yi Xiong 0001 — Luohu People's Hosptial, Shenzhen, China
- Yi Xiong 0003
![[0009-0002-7439-2505]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0009-0002-7439-2505")
— University of Science and Technology of China, Suzhou, China - Yi Xiong 0004 — Southern University of Science and Technology, Shenzhen, China
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2020 – today
- 2023
[j29]Zhiqiang Hu, Wenfeng Liu, Chenbin Zhang, Jiawen Huang, Shaoting Zhang, Huiqun Yu, Yi Xiong, Hao Liu, Song Ke, Liang Hong:
SAM-DTA: a sequence-agnostic model for drug-target binding affinity prediction. Briefings Bioinform. 24(1) (2023)- [j28]Jing Zhao, Bowen Zhao, Xiaotong Song, Chujun Lyu, Weizhi Chen, Yi Xiong, Dong-Qing Wei:
Subtype-DCC: decoupled contrastive clustering method for cancer subtype identification based on multi-omics data. Briefings Bioinform. 24(2) (2023) - [j27]Shaojun Wang, Ronghui You, Yunjia Liu, Yi Xiong, Shanfeng Zhu:
NetGO 3.0: Protein Language Model Improves Large-scale Functional Annotations. Genom. Proteom. Bioinform. 21(2): 349-358 (2023) - [j26]Song Li, Chao Hu, Song Ke, Chenxing Yang, Jun Chen, Yi Xiong, Hao Liu, Liang Hong:
LS-MolGen: Ligand-and-Structure Dual-Driven Deep Reinforcement Learning for Target-Specific Molecular Generation Improves Binding Affinity and Novelty. J. Chem. Inf. Model. 63(13): 4207-4215 (2023) - [j25]Heqi Sun, Jianmin Wang, Hongyan Wu, Shenggeng Lin, Junwei Chen, Jinghua Wei, Shuai Lv, Yi Xiong, Dong-Qing Wei:
A Multimodal Deep Learning Framework for Predicting PPI-Modulator Interactions. J. Chem. Inf. Model. 63(23): 7363-7372 (2023) - 2022
- [j24]Shenggeng Lin, Yanjing Wang, Lingfeng Zhang, Yanyi Chu, Yatong Liu, Yitian Fang, Mingming Jiang, Qiankun Wang, Bowen Zhao, Yi Xiong, Dong-Qing Wei:
MDF-SA-DDI: predicting drug-drug interaction events based on multi-source drug fusion, multi-source feature fusion and transformer self-attention mechanism. Briefings Bioinform. 23(1) (2022) - [j23]Hao Wu, Yingfu Wu, Yuhong Jiang, Bing Zhou, Haoru Zhou, Zhongli Chen, Yi Xiong, Quanzhong Liu, Hongming Zhang:
scHiCStackL: a stacking ensemble learning-based method for single-cell Hi-C classification using cell embedding. Briefings Bioinform. 23(1) (2022) - [j22]Yumeng Zhang, Yangming Zhang, Yi Xiong, Hui Wang, Zixin Deng, Jiangning Song, Hong-Yu Ou:
T4SEfinder: a bioinformatics tool for genome-scale prediction of bacterial type IV secreted effectors using pre-trained protein language model. Briefings Bioinform. 23(1) (2022) - [j21]Shenggeng Lin, Guangwei Zhang, Dong-Qing Wei, Yi Xiong:
DeepPSE: Prediction of polypharmacy side effects by fusing deep representation of drug pairs and attention mechanism. Comput. Biol. Medicine 149: 105984 (2022) - [j20]Yanyi Chu, Yan Zhang, Qiankun Wang, Lingfeng Zhang, Xuhong Wang, Yanjing Wang, Dennis Russell Salahub, Qin Xu, Jianmin Wang, Xue Jiang, Yi Xiong, Dong-Qing Wei:
A transformer-based model to predict peptide-HLA class I binding and optimize mutated peptides for vaccine design. Nat. Mach. Intell. 4(3): 300-311 (2022) - 2021
- [j19]Yanyi Chu, Aman Chandra Kaushik, Xiangeng Wang, Wei Wang, Yufang Zhang, Xiaoqi Shan, Dennis Russell Salahub, Yi Xiong, Dong-Qing Wei:
DTI-CDF: a cascade deep forest model towards the prediction of drug-target interactions based on hybrid features. Briefings Bioinform. 22(1): 451-462 (2021) - [j18]Yanyi Chu, Xiaoqi Shan, Tianhang Chen, Mingming Jiang, Yanjing Wang, Qiankun Wang, Dennis Russell Salahub, Yi Xiong, Dong-Qing Wei:
DTI-MLCD: predicting drug-target interactions using multi-label learning with community detection method. Briefings Bioinform. 22(3) (2021) - [j17]Wei Wang, Qiuying Dai, Fang Li, Yi Xiong, Dong-Qing Wei:
MLCDForest: multi-label classification with deep forest in disease prediction for long non-coding RNAs. Briefings Bioinform. 22(3) (2021) - [j16]Yanyi Chu, Xuhong Wang, Qiuying Dai, Yanjing Wang, Qiankun Wang, Shaoliang Peng, Xiaoyong Wei, Jingfei Qiu, Dennis Russell Salahub, Yi Xiong, Dong-Qing Wei:
MDA-GCNFTG: identifying miRNA-disease associations based on graph convolutional networks via graph sampling through the feature and topology graph. Briefings Bioinform. 22(6) (2021) - [j15]Mingming Jiang, Bowen Zhao, Shenggan Luo, Qiankun Wang, Yanyi Chu, Tianhang Chen, Xueying Mao, Yatong Liu, Yanjing Wang, Xue Jiang, Dong-Qing Wei, Yi Xiong:
NeuroPpred-Fuse: an interpretable stacking model for prediction of neuropeptides by fusing sequence information and feature selection methods. Briefings Bioinform. 22(6) (2021) - [j14]Qiuying Dai, Yanyi Chu, Zhiqi Li, Yusong Zhao, Xueying Mao, Yanjing Wang, Yi Xiong, Dong-Qing Wei:
MDA-CF: Predicting MiRNA-Disease associations based on a cascade forest model by fusing multi-source information. Comput. Biol. Medicine 136: 104706 (2021) - [j13]Shuwei Yao, Ronghui You, Shaojun Wang, Yi Xiong, Xiaodi Huang, Shanfeng Zhu:
NetGO 2.0: improving large-scale protein function prediction with massive sequence, text, domain, family and network information. Nucleic Acids Res. 49(Webserver-Issue): 469-475 (2021) - 2020
- [j12]Xiaolei Zhu, Ling Liu, Jingjing He, Ting Fang, Yi Xiong, Julie C. Mitchell:
iPNHOT: a knowledge-based approach for identifying protein-nucleic acid interaction hot spots. BMC Bioinform. 21(1): 289 (2020) - [j11]Xiao Chen, Yi Xiong, Yinbo Liu, Yuqing Chen, Shoudong Bi, Xiaolei Zhu:
m5CPred-SVM: a novel method for predicting m5C sites of RNA. BMC Bioinform. 21(1): 489 (2020) - [j10]Wei Wang, Xiaoqing Guan, Muhammad Tahir Khan, Yi Xiong, Dong-Qing Wei:
LMI-DForest: A deep forest model towards the prediction of lncRNA-miRNA interactions. Comput. Biol. Chem. 89: 107406 (2020)
2010 – 2019
- 2019
- [j9]Xiaoqi Shan, Xiangeng Wang, Cheng-Dong Li, Yanyi Chu, Yufang Zhang, Yi Xiong, Dong-Qing Wei:
Prediction of CYP450 Enzyme-Substrate Selectivity Based on the Network-Based Label Space Division Method. J. Chem. Inf. Model. 59(11): 4577-4586 (2019) - [j8]Ronghui You, Shuwei Yao, Yi Xiong, Xiaodi Huang, Fengzhu Sun, Hiroshi Mamitsuka, Shanfeng Zhu:
NetGO: improving large-scale protein function prediction with massive network information. Nucleic Acids Res. 47(Webserver-Issue): W379-W387 (2019) - 2018
- [j7]Ling Liu, Yi Xiong, Hongyun Gao, Dong-Qing Wei, Julie C. Mitchell, Xiaolei Zhu:
dbAMEPNI: a database of alanine mutagenic effects for protein-nucleic acid interactions. Database J. Biol. Databases Curation 2018: bay034 (2018) - [j6]Ronghui You, Zihan Zhang, Yi Xiong, Fengzhu Sun, Hiroshi Mamitsuka, Shanfeng Zhu:
GOLabeler: improving sequence-based large-scale protein function prediction by learning to rank. Bioinform. 34(14): 2465-2473 (2018) - [j5]Yanhua Qiao, Yi Xiong, Hongyun Gao, Xiaolei Zhu, Peng Chen:
Protein-protein interface hot spots prediction based on a hybrid feature selection strategy. BMC Bioinform. 19(1): 14:1-14:16 (2018) - [j4]Jingjing He, Ting Fang, Zizheng Zhang, Bei Huang, Xiaolei Zhu, Yi Xiong:
PseUI: Pseudouridine sites identification based on RNA sequence information. BMC Bioinform. 19(1): 306:1-306:11 (2018) - 2015
- [j3]Xiaolei Zhu, Yi Xiong, Daisuke Kihara:
Large-scale binding ligand prediction by improved patch-based method Patch-Surfer2.0. Bioinform. 31(5): 707-713 (2015) - [j2]Juan Esquivel-Rodríguez, Yi Xiong, Xusi Han, Shuomeng Guang, Charles Christoffer, Daisuke Kihara:
Navigating 3D electron microscopy maps with EM-SURFER. BMC Bioinform. 16: 181:1-181:9 (2015) - 2013
- [c2]Wen Zhang, Juan Liu, Yi Xiong, Meng Ke, Ke Zhang:
Predicting immunogenic T-cell epitopes by combining various sequence-derived features. BIBM 2013: 4-9 - 2011
- [j1]Wen Zhang, Yi Xiong, Meng Zhao, Hua Zou, Xinghuo Ye, Juan Liu:
Prediction of conformational B-cell epitopes from 3D structures by random forest with a distance-based feature. BMC Bioinform. 12: 341 (2011) - [c1]Yi Xiong, Wen Zhang, Tao Zeng, Juan Liu:
Prediction of Heme Binding Sites in Heme Proteins Using an Integrative Sequence Profile Coupling Evolutionary Information with Physicochemical Properties. BIBM 2011: 143-146
Coauthor Index
aka: Dong-Qing Wei
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