Xing Chen

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 55

Top Topics

Computational Model

Protein Interaction

Sparse Representation

Top Venues

Briefings Bioinform.

PLoS Comput. Biol.

Comput. Biol. Medicine

Publications

Xing Chen, Li Huang
Computational model for drug research. Briefings Bioinform. 25 (3) (2024)
Shu-Hao Wang, Yan Zhao, Chun-Chun Wang, Fei Chu, Lian-Ying Miao, Li Zhang, Linlin Zhuo, Xing Chen
RFEM: A framework for essential microRNA identification in mice based on rotation forest and multiple feature fusion. Comput. Biol. Medicine 171 (2024)
Lihong Peng, Pengfei Gao, Wei Xiong, Zejun Li, Xing Chen
Identifying potential ligand-receptor interactions based on gradient boosted neural network and interpretable boosting machine for intercellular communication analysis. Comput. Biol. Medicine 171 (2024)
Lihong Peng, Wei Xiong, Chendi Han, Zejun Li, Xing Chen
CellDialog: A Computational Framework for Ligand-Receptor-Mediated Cell-Cell Communication Analysis. IEEE J. Biomed. Health Informatics 28 (1) (2024)
Chen-Di Han, Chun-Chun Wang, Li Huang, Xing Chen
MCFF-MTDDI: multi-channel feature fusion for multi-typed drug-drug interaction prediction. Briefings Bioinform. 24 (4) (2023)
Tian-Hao Li, Chun-Chun Wang, Li Zhang, Xing Chen
SNRMPACDC: computational model focused on Siamese network and random matrix projection for anticancer synergistic drug combination prediction. Briefings Bioinform. 24 (1) (2023)
Xing Chen, Li Huang
Computational model for disease research. Briefings Bioinform. 24 (1) (2023)
Lihong Peng, Jingwei Tan, Wei Xiong, Li Zhang, Zhao Wang, Ruya Yuan, Zejun Li, Xing Chen
Deciphering ligand-receptor-mediated intercellular communication based on ensemble deep learning and the joint scoring strategy from single-cell transcriptomic data. Comput. Biol. Medicine 163 (2023)
Li Zhang, Chun-Chun Wang, Yong Zhang, Xing Chen
GPCNDTA: Prediction of drug-target binding affinity through cross-attention networks augmented with graph features and pharmacophores. Comput. Biol. Medicine 166 (2023)
Chun-Chun Wang, Tian-Hao Li, Li Huang, Xing Chen
Prediction of potential miRNA-disease associations based on stacked autoencoder. Briefings Bioinform. 23 (2) (2022)
Shu-Hao Wang, Chun-Chun Wang, Li Huang, Lian-Ying Miao, Xing Chen
Dual-Network Collaborative Matrix Factorization for predicting small molecule-miRNA associations. Briefings Bioinform. 23 (1) (2022)
Li Zhang, Chun-Chun Wang, Xing Chen
Predicting drug-target binding affinity through molecule representation block based on multi-head attention and skip connection. Briefings Bioinform. 23 (6) (2022)
Li Huang, Li Zhang, Xing Chen
Updated review of advances in microRNAs and complex diseases: experimental results, databases, webservers and data fusion. Briefings Bioinform. 23 (6) (2022)
Xing Chen, Li Huang
Computational model for ncRNA research. Briefings Bioinform. 23 (6) (2022)
Li Huang, Li Zhang, Xing Chen
Updated review of advances in microRNAs and complex diseases: towards systematic evaluation of computational models. Briefings Bioinform. 23 (6) (2022)
Chun-Chun Wang, Chi-Chi Zhu, Xing Chen
Ensemble of kernel ridge regression-based small molecule-miRNA association prediction in human disease. Briefings Bioinform. 23 (1) (2022)
Li Huang, Li Zhang, Xing Chen
Updated review of advances in microRNAs and complex diseases: taxonomy, trends and challenges of computational models. Briefings Bioinform. 23 (5) (2022)
Chi-Chi Zhu, Chun-Chun Wang, Yan Zhao, Mingcheng Zuo, Xing Chen
Identification of miRNA-disease associations via multiple information integration with Bayesian ranking. Briefings Bioinform. 22 (6) (2021)
Xing Chen, Chi Zhou, Chun-Chun Wang, Yan Zhao
Predicting potential small molecule-miRNA associations based on bounded nuclear norm regularization. Briefings Bioinform. 22 (6) (2021)
Xing Chen, Tian-Hao Li, Yan Zhao, Chun-Chun Wang, Chi-Chi Zhu
Deep-belief network for predicting potential miRNA-disease associations. Briefings Bioinform. 22 (3) (2021)
Chun-Chun Wang, Yan Zhao, Xing Chen
Drug-pathway association prediction: from experimental results to computational models. Briefings Bioinform. 22 (3) (2021)
Yan Zhao, Chun-Chun Wang, Xing Chen
Microbes and complex diseases: from experimental results to computational models. Briefings Bioinform. 22 (3) (2021)
Xing Chen, Na-Na Guan, Ya-Zhou Sun, Jian-Qiang Li, Jia Qu
MicroRNA-small molecule association identification: from experimental results to computational models. Briefings Bioinform. 21 (1) (2020)
Yan Zhao, Xing Chen, Jun Yin
Adaptive boosting-based computational model for predicting potential miRNA-disease associations. Bioinform. 36 (1) (2020)
Chun-Chun Wang, Xing Chen
A Unified Framework for the Prediction of Small Molecule-MicroRNA Association Based on Cross-Layer Dependency Inference on Multilayered Networks. J. Chem. Inf. Model. 59 (12) (2019)
Jia Qu, Xing Chen, Jun Yin, Yan Zhao, Zheng-Wei Li
Prediction of potential miRNA-disease associations using matrix decomposition and label propagation. Knowl. Based Syst. 186 (2019)
Xing Chen, Di Xie, Qi Zhao, Zhu-Hong You
MicroRNAs and complex diseases: from experimental results to computational models. Briefings Bioinform. 20 (2) (2019)
Yan Zhao, Xing Chen, Jun Yin
Adaptive boosting-based computational model for predicting potential miRNA-disease associations. Bioinform. 35 (22) (2019)
Xing Chen, Ya-Zhou Sun, Hui Liu, Lin Zhang, Jian-Qiang Li, Jia Meng
RNA methylation and diseases: experimental results, databases, Web servers and computational models. Briefings Bioinform. 20 (3) (2019)
Chun-Chun Wang, Xing Chen, Jia Qu, Ya-Zhou Sun, Jian-Qiang Li
RFSMMA: A New Computational Model to Identify and Prioritize Potential Small Molecule-MiRNA Associations. J. Chem. Inf. Model. 59 (4) (2019)
Lei Wang, Zhu-Hong You, Xing Chen, Yang-Ming Li, Ya-Nan Dong, Li-Ping Li, Kai Zheng
LMTRDA: Using logistic model tree to predict MiRNA-disease associations by fusing multi-source information of sequences and similarities. PLoS Comput. Biol. 15 (3) (2019)
Xing Chen, Chi-Chi Zhu, Jun Yin
Ensemble of decision tree reveals potential miRNA-disease associations. PLoS Comput. Biol. 15 (7) (2019)
Jia Qu, Xing Chen, Ya-Zhou Sun, Jian-Qiang Li, Zhong Ming
Inferring potential small molecule-miRNA association based on triple layer heterogeneous network. J. Cheminformatics 10 (1) (2018)
Xing Chen, Yu-An Huang, Zhu-Hong You, Guiying Yan, Xuesong Wang
A novel approach based on KATZ measure to predict associations of human microbiota with non-infectious diseases. Bioinform. 34 (8) (2018)
Lei Wang, Zhu-Hong You, Shixiong Xia, Xing Chen, Xin Yan, Yong Zhou, Feng Liu
An improved efficient rotation forest algorithm to predict the interactions among proteins. Soft Comput. 22 (10) (2018)
Xing Chen, Di Xie, Lei Wang, Qi Zhao, Zhu-Hong You, Hongsheng Liu
BNPMDA: Bipartite Network Projection for MiRNA-Disease Association prediction. Bioinform. 34 (18) (2018)
Hui-Juan Zhu, Zhu-Hong You, Zexuan Zhu, Wei-Lei Shi, Xing Chen, Li Cheng
DroidDet: Effective and robust detection of android malware using static analysis along with rotation forest model. Neurocomputing 272 (2018)
Xing Chen, Lei Wang, Jia Qu, Na-Na Guan, Jian-Qiang Li
Predicting miRNA-disease association based on inductive matrix completion. Bioinform. 34 (24) (2018)
Lei Wang, Zhu-Hong You, Xing Chen, Shixiong Xia, Feng Liu, Xin Yan, Yong Zhou, Kejian Song
A Computational-Based Method for Predicting Drug-Target Interactions by Using Stacked Autoencoder Deep Neural Network. J. Comput. Biol. 25 (3) (2018)
Hui Liu, Huaizhi Wang, Zhen Wei, Songyao Zhang, Gang Hua, Shao-Wu Zhang, Lin Zhang, Shou-Jiang Gao, Jia Meng, Xing Chen, Yufei Huang
MeT-DB V2.0: elucidating context-specific functions of N6-methyl-adenosine methyltranscriptome. Nucleic Acids Res. 46 (Database-Issue) (2018)
Xing Chen, Jun Yin, Jia Qu, Li Huang
MDHGI: Matrix Decomposition and Heterogeneous Graph Inference for miRNA-disease association prediction. PLoS Comput. Biol. 14 (8) (2018)
Ya-Zhou Sun, De-Hong Zhang, Zhong Ming, Jian-Qiang Li, Xing Chen
DLREFD: a database providing associations of long non-coding RNAs, environmental factors and phenotypes. Database J. Biol. Databases Curation 2017 (2017)
Zhu-Hong You, Zhi-an Huang, Zexuan Zhu, Guiying Yan, Zheng-Wei Li, Zhenkun Wen, Xing Chen
PBMDA: A novel and effective path-based computational model for miRNA-disease association prediction. PLoS Comput. Biol. 13 (3) (2017)
Xing Chen, Yu-An Huang, Zhu-Hong You, Guiying Yan, Xuesong Wang
A novel approach based on KATZ measure to predict associations of human microbiota with non-infectious diseases. Bioinform. 33 (5) (2017)
Xing Chen, Ya-Wei Niu, Guanghui Wang, Guiying Yan
HAMDA: Hybrid Approach for MiRNA-Disease Association prediction. J. Biomed. Informatics 76 (2017)
Xing Chen, Li Huang
LRSSLMDA: Laplacian Regularized Sparse Subspace Learning for MiRNA-Disease Association prediction. PLoS Comput. Biol. 13 (12) (2017)
Xing Chen, Chenggang Clarence Yan, Xu Zhang, Zhu-Hong You
Long non-coding RNAs and complex diseases: from experimental results to computational models. Briefings Bioinform. 18 (4) (2017)
Jian-Qiang Li, Zhu-Hong You, Xiao Li, Zhong Ming, Xing Chen
PSPEL: In Silico Prediction of Self-Interacting Proteins from Amino Acids Sequences Using Ensemble Learning. IEEE ACM Trans. Comput. Biol. Bioinform. 14 (5) (2017)
Xing Chen, Ya-Zhou Sun, De-Hong Zhang, Jian-Qiang Li, Guiying Yan, Ji-Yong An, Zhu-Hong You
NRDTD: a database for clinically or experimentally supported non-coding RNAs and drug targets associations. Database J. Biol. Databases Curation 2017 (2017)
Lei Wang, Zhu-Hong You, Xing Chen, Shixiong Xia, Feng Liu, Xin Yan, Yong Zhou
Computational Methods for the Prediction of Drug-Target Interactions from Drug Fingerprints and Protein Sequences by Stacked Auto-Encoder Deep Neural Network. ISBRA (2017)
Xiaoqiang Sun, Jiajun Zhang, Qi Zhao, Xing Chen, Wenbo Zhu, Guangmei Yan, Tianshou Zhou
Stochastic modeling suggests that noise reduces differentiation efficiency by inducing a heterogeneous drug response in glioma differentiation therapy. BMC Syst. Biol. 10 (2016)
Yu-An Huang, Zhu-Hong You, Xing Chen, Keith C. C. Chan, Xin Luo
Sequence-based prediction of protein-protein interactions using weighted sparse representation model combined with global encoding. BMC Bioinform. 17 (2016)
Yu-An Huang, Zhu-Hong You, Xing Chen, Guiying Yan
Improved protein-protein interactions prediction via weighted sparse representation model combining continuous wavelet descriptor and PseAA composition. BMC Syst. Biol. 10 (4) (2016)
Xing Chen, Biao Ren, Ming Chen, Quanxin Wang, Lixin Zhang, Guiying Yan
NLLSS: Predicting Synergistic Drug Combinations Based on Semi-supervised Learning. PLoS Comput. Biol. 12 (7) (2016)
Yu-An Huang, Zhu-Hong You, Xiao Li, Xing Chen, Pengwei Hu, Shuai Li, Xin Luo
Construction of reliable protein-protein interaction networks using weighted sparse representation based classifier with pseudo substitution matrix representation features. Neurocomputing 218 (2016)
Geng Chen, Ziyun Wang, Dongqing Wang, Chengxiang Qiu, Mingxi Liu, Xing Chen, Qipeng Zhang, Guiying Yan, Qinghua Cui
LncRNADisease: a database for long-non-coding RNA-associated diseases. Nucleic Acids Res. 41 (Database-Issue) (2013)
Xing Chen, Guiying Yan
Novel human lncRNA-disease association inference based on lncRNA expression profiles. Bioinform. 29 (20) (2013)