Xing Chen

Loop profile ORCID

Publication Activity (10 Years)

Years Active: 2016-2022
Publications (10 Years): 25

Top Topics

Convolutional Neural Network

High Efficiency

Top Venues

Briefings in bioinformatics

PLoS computational biology

Journal of cellular and molecular medicine

Journal of chemical information and modeling

This page only lists publications with an associated author ORCID identifier.

Publications

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 in bioinformatics 23 (6) (2022)
Chun-Chun Wang, Tian-Hao Li, Li Huang, Xing Chen
Prediction of potential miRNA-disease associations based on stacked autoencoder. Briefings in bioinformatics 23 (2) (2022)
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 in bioinformatics (2022)
Xing Chen, Tian-Hao Li, Yan Zhao, Chun-Chun Wang, Chi-Chi Zhu
Deep-belief network for predicting potential miRNA-disease associations. Briefings in bioinformatics 22 (3) (2021)
Chun-Chun Wang, Yan Zhao, Xing Chen
Drug-pathway association prediction: from experimental results to computational models. Briefings in bioinformatics 22 (3) (2021)
Yan Zhao, Chun-Chun Wang, Xing Chen
Microbes and complex diseases: from experimental results to computational models. Briefings in bioinformatics 22 (3) (2021)
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 in bioinformatics (2021)
Chun-Chun Wang, Chi-Chi Zhu, Xing Chen
Ensemble of kernel ridge regression-based small molecule-miRNA association prediction in human disease. Briefings in bioinformatics (2021)
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 computational biology 15 (3) (2019)
Jun Yin, Xing Chen, Chun-Chun Wang, Yan Zhao, Ya-Zhou Sun
Prediction of Small Molecule-MicroRNA Associations by Sparse Learning and Heterogeneous Graph Inference. Molecular pharmaceutics 16 (7) (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. Journal of chemical information and modeling 59 (4) (2019)
Ya-Wei Niu, Guang-Hui Wang, Gui-Ying Yan, Xing Chen
Integrating random walk and binary regression to identify novel miRNA-disease association. BMC bioinformatics 20 (1) (2019)
Xing Chen, Chi-Chi Zhu, Jun Yin
Ensemble of decision tree reveals potential miRNA-disease associations. PLoS computational biology 15 (7) (2019)
Li Zhang, Xing Chen, Jun Yin
Prediction of Potential miRNA-Disease Associations Through a Novel Unsupervised Deep Learning Framework with Variational Autoencoder. Cells 8 (9) (2019)
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. Journal of chemical information and modeling 59 (12) (2019)
Xing Chen, Le-Yi Wang, Li Huang
NDAMDA: Network distance analysis for MiRNA-disease association prediction. Journal of cellular and molecular medicine 22 (5) (2018)
Xing Chen, Jun Yin, Jia Qu, Li Huang
MDHGI: Matrix Decomposition and Heterogeneous Graph Inference for miRNA-disease association prediction. PLoS computational biology 14 (8) (2018)
Jia Qu, Xing Chen, Ya-Zhou Sun, Jian-Qiang Li, Zhong Ming
Inferring potential small molecule-miRNA association based on triple layer heterogeneous network. Journal of cheminformatics 10 (1) (2018)
Li-Hong Peng, Chuan-Neng Sun, Na-Na Guan, Jian-Qiang Li, Xing Chen
HNMDA: heterogeneous network-based miRNA-disease association prediction. Molecular genetics and genomics : MGG 293 (4) (2018)
Xing Chen, Li Huang
LRSSLMDA: Laplacian Regularized Sparse Subspace Learning for MiRNA-Disease Association prediction. PLoS computational biology 13 (12) (2017)
Xing Chen, Na-Na Guan, Jian-Qiang Li, Gui-Ying Yan
GIMDA: Graphlet interaction-based MiRNA-disease association prediction. Journal of cellular and molecular medicine 22 (3) (2017)
Zhu-Hong You, Zhi-An Huang, Zexuan Zhu, Gui-Ying Yan, Zheng-Wei Li, Zhenkun Wen, Xing Chen
PBMDA: A novel and effective path-based computational model for miRNA-disease association prediction. PLoS computational biology 13 (3) (2017)
Xing Chen, Ya-Wei Niu, Guang-Hui Wang, Gui-Ying Yan
MKRMDA: multiple kernel learning-based Kronecker regularized least squares for MiRNA-disease association prediction. Journal of translational medicine 15 (1) (2017)
Xing Chen, Yao Gong, De-Hong Zhang, Zhu-Hong You, Zheng-Wei Li
DRMDA: deep representations-based miRNA-disease association prediction. Journal of cellular and molecular medicine 22 (1) (2017)
Xing Chen, Huiming Peng, Zheng Yin
Current Computational Models for Prediction of the Varied Interactions Related to Noncoding RNAs. BioMed research international 2016 (2016)