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Xing Chen 0001
Other persons with the same name
- Xing Chen — disambiguation page
- Xing Chen 0002
— Fuzhou University, Fuzhou, China
- Xing Chen 0003 — Kanagawa Institute of Technology, Atsugi, Japan
- Xing Chen 0004
- Xing Chen 0005
- Xing Chen 0006
- Xing Chen 0007
- Xing Chen 0008 — Xinjiang University, College of Mathematics and Systems Sciences, China (and 1 more)
2020 – today
- 2025
- [j65]Lihong Peng, Longlong Liu, Liangliang Huang, Zongzheng Bai, Min Chen, Xing Chen:
Predicting cell-cell communication by combining heterogeneous ensemble deep learning and weighted geometric mean. Appl. Soft Comput. 172: 112839 (2025) - [j64]Lihong Peng
DTI-MvSCA: An Anti-Over-Smoothing Multi-View Framework With Negative Sample Selection for Predicting Drug-Target Interactions. IEEE J. Biomed. Health Informatics 29(1): 711-723 (2025) - [j63]Xing Chen, Qi Zhao:
Guest Editorial:Application of Computational Techniques in Drug Discovery and Disease Treatment. IEEE J. Biomed. Health Informatics 29(3): 1564-1566 (2025) - 2024
- [j62]Xing Chen
Computational model for drug research. Briefings Bioinform. 25(3) (2024) - [j61]Lihong Peng
Identifying potential ligand-receptor interactions based on gradient boosted neural network and interpretable boosting machine for intercellular communication analysis. Comput. Biol. Medicine 171: 108110 (2024) - [j60]Shu-Hao Wang
RFEM: A framework for essential microRNA identification in mice based on rotation forest and multiple feature fusion. Comput. Biol. Medicine 171: 108177 (2024) - [j59]Lihong Peng
CellDialog: A Computational Framework for Ligand-Receptor-Mediated Cell-Cell Communication Analysis. IEEE J. Biomed. Health Informatics 28(1): 580-591 (2024) - 2023
- [j58]Xing Chen, Li Huang:
Computational model for disease research. Briefings Bioinform. 24(1) (2023) - [j57]Tian-Hao Li, Chun-Chun Wang
SNRMPACDC: computational model focused on Siamese network and random matrix projection for anticancer synergistic drug combination prediction. Briefings Bioinform. 24(1) (2023) - [j56]Chen-Di Han, Chun-Chun Wang
MCFF-MTDDI: multi-channel feature fusion for multi-typed drug-drug interaction prediction. Briefings Bioinform. 24(4) (2023) - [j55]Lihong Peng
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: 107137 (2023) - [j54]Li Zhang, Chun-Chun Wang
GPCNDTA: Prediction of drug-target binding affinity through cross-attention networks augmented with graph features and pharmacophores. Comput. Biol. Medicine 166: 107512 (2023) - 2022
- [j53]Shu-Hao Wang, Chun-Chun Wang
Dual-Network Collaborative Matrix Factorization for predicting small molecule-miRNA associations. Briefings Bioinform. 23(1) (2022) - [j52]Chun-Chun Wang
Ensemble of kernel ridge regression-based small molecule-miRNA association prediction in human disease. Briefings Bioinform. 23(1) (2022) - [j51]Chun-Chun Wang
Prediction of potential miRNA-disease associations based on stacked autoencoder. Briefings Bioinform. 23(2) (2022) - [j50]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) - [j49]Xing Chen, Li Huang:
Computational model for ncRNA research. Briefings Bioinform. 23(6) (2022) - [j48]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) - [j47]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) - [j46]Li Zhang, Chun-Chun Wang
Predicting drug-target binding affinity through molecule representation block based on multi-head attention and skip connection. Briefings Bioinform. 23(6) (2022) - [c4]Lihong Peng, Xianzhi He, Li Zhang, Xinhuai Peng, Yuankang Lu, Zejun Li, Xing Chen:
A deep learning-based unsupervised learning method for spatially resolved transcriptomic data analysist. BIBM 2022: 281-286 - [c3]Lihong Peng, Ruya Yuan, Chendi Han, Jingwei Tan, Zhao Wang, Min Chen, Xing Chen:
Analyses of cell-to-cell communication combining a heterogeneous deep ensemble framework and scoring approaches from single-cell RNA sequencing data. BIBM 2022: 515-522 - 2021
- [j45]Xing Chen
Deep-belief network for predicting potential miRNA-disease associations. Briefings Bioinform. 22(3) (2021) - [j44]Chun-Chun Wang
Drug-pathway association prediction: from experimental results to computational models. Briefings Bioinform. 22(3) (2021) - [j43]Yan Zhao, Chun-Chun Wang
Microbes and complex diseases: from experimental results to computational models. Briefings Bioinform. 22(3) (2021) - [j42]Xing Chen
Predicting potential small molecule-miRNA associations based on bounded nuclear norm regularization. Briefings Bioinform. 22(6) (2021) - [j41]Chun-Chun Wang, Chendi Han, Qi Zhao
Circular RNAs and complex diseases: from experimental results to computational models. Briefings Bioinform. 22(6) (2021) - [j40]Chi-Chi Zhu, Chun-Chun Wang
Identification of miRNA-disease associations via multiple information integration with Bayesian ranking. Briefings Bioinform. 22(6) (2021) - 2020
- [j39]Xing Chen
MicroRNA-small molecule association identification: from experimental results to computational models. Briefings Bioinform. 21(1): 47-61 (2020) - [j38]Yan Zhao, Xing Chen, Jun Yin:
Adaptive boosting-based computational model for predicting potential miRNA-disease associations. Bioinform. 36(1): 330 (2020)
2010 – 2019
- 2019
- [j37]Xing Chen
MicroRNAs and complex diseases: from experimental results to computational models. Briefings Bioinform. 20(2): 515-539 (2019) - [j36]Xing Chen
RNA methylation and diseases: experimental results, databases, Web servers and computational models. Briefings Bioinform. 20(3): 896-917 (2019) - [j35]Yan Zhao, Xing Chen, Jun Yin:
Adaptive boosting-based computational model for predicting potential miRNA-disease associations. Bioinform. 35(22): 4730-4738 (2019) - [j34]Ya-Wei Niu, Guanghui Wang, Gui-Ying Yan, Xing Chen
Integrating random walk and binary regression to identify novel miRNA-disease association. BMC Bioinform. 20(1): 59 (2019) - [j33]Chun-Chun Wang, Xing Chen
RFSMMA: A New Computational Model to Identify and Prioritize Potential Small Molecule-MiRNA Associations. J. Chem. Inf. Model. 59(4): 1668-1679 (2019) - [j32]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): 5281-5293 (2019) - [j31]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) - [j30]Lei Wang
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) - [j29]Xing Chen
Ensemble of decision tree reveals potential miRNA-disease associations. PLoS Comput. Biol. 15(7) (2019) - 2018
- [j28]Xing Chen, Wei Xiong, Jixiang Meng:
Fault Tolerance of λ-Optimal Graphs. Ars Comb. 138: 355-364 (2018) - [j27]Xing Chen, Yu-An Huang
A novel approach based on KATZ measure to predict associations of human microbiota with non-infectious diseases. Bioinform. 34(8): 1440 (2018) - [j26]Xing Chen, Di Xie, Lei Wang, Qi Zhao
BNPMDA: Bipartite Network Projection for MiRNA-Disease Association prediction. Bioinform. 34(18): 3178-3186 (2018) - [j25]Xing Chen, Lei Wang, Jia Qu, Na-Na Guan
Predicting miRNA-disease association based on inductive matrix completion. Bioinform. 34(24): 4256-4265 (2018) - [j24]Hui-Juan Zhu, Zhu-Hong You
DroidDet: Effective and robust detection of android malware using static analysis along with rotation forest model. Neurocomputing 272: 638-646 (2018) - [j23]Lei Wang, Zhu-Hong You
A Computational-Based Method for Predicting Drug-Target Interactions by Using Stacked Autoencoder Deep Neural Network. J. Comput. Biol. 25(3): 361-373 (2018) - [j22]Jia Qu, Xing Chen
Inferring potential small molecule-miRNA association based on triple layer heterogeneous network. J. Cheminformatics 10(1): 30:1-30:14 (2018) - [j21]Hui Liu, Huaizhi Wang, Zhen Wei, Songyao Zhang, Gang Hua, Shao-Wu Zhang, Lin Zhang, Shou-Jiang Gao
MeT-DB V2.0: elucidating context-specific functions of N6-methyl-adenosine methyltranscriptome. Nucleic Acids Res. 46(Database-Issue): D281-D287 (2018) - [j20]Xing Chen
MDHGI: Matrix Decomposition and Heterogeneous Graph Inference for miRNA-disease association prediction. PLoS Comput. Biol. 14(8) (2018) - [j19]Lei Wang
An improved efficient rotation forest algorithm to predict the interactions among proteins. Soft Comput. 22(10): 3373-3381 (2018) - 2017
- [j18]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): 558-576 (2017) - [j17]Xing Chen, Ya-Zhou Sun, De-Hong Zhang, Jian-Qiang Li
NRDTD: a database for clinically or experimentally supported non-coding RNAs and drug targets associations. Database J. Biol. Databases Curation 2017: bax057 (2017) - [j16]Ya-Zhou Sun, De-Hong Zhang, Zhong Ming, Jian-Qiang Li
DLREFD: a database providing associations of long non-coding RNAs, environmental factors and phenotypes. Database J. Biol. Databases Curation 2017: bax084 (2017) - [j15]Xing Chen, Yu-An Huang
A novel approach based on KATZ measure to predict associations of human microbiota with non-infectious diseases. Bioinform. 33(5): 733-739 (2017) - [j14]Xing Chen
HAMDA: Hybrid Approach for MiRNA-Disease Association prediction. J. Biomed. Informatics 76: 50-58 (2017) - [j13]Zhu-Hong You
PBMDA: A novel and effective path-based computational model for miRNA-disease association prediction. PLoS Comput. Biol. 13(3) (2017) - [j12]Xing Chen
LRSSLMDA: Laplacian Regularized Sparse Subspace Learning for MiRNA-Disease Association prediction. PLoS Comput. Biol. 13(12) (2017) - [j11]Jian-Qiang Li
PSPEL: In Silico Prediction of Self-Interacting Proteins from Amino Acids Sequences Using Ensemble Learning. IEEE ACM Trans. Comput. Biol. Bioinform. 14(5): 1165-1172 (2017) - [c2]Lei Wang
Computational Methods for the Prediction of Drug-Target Interactions from Drug Fingerprints and Protein Sequences by Stacked Auto-Encoder Deep Neural Network. ISBRA 2017: 46-58 - 2016
- [j10]Xing Chen, Chenggang Clarence Yan, Xiaotian Zhang, Xu Zhang, Feng Dai, Jian Yin, Yongdong Zhang:
Drug-target interaction prediction: databases, web servers and computational models. Briefings Bioinform. 17(4): 696-712 (2016) - [j9]Yu-An Huang
Sequence-based prediction of protein-protein interactions using weighted sparse representation model combined with global encoding. BMC Bioinform. 17: 184 (2016) - [j8]Xiaoqiang Sun, Jiajun Zhang
Stochastic modeling suggests that noise reduces differentiation efficiency by inducing a heterogeneous drug response in glioma differentiation therapy. BMC Syst. Biol. 10: 73 (2016) - [j7]Yu-An Huang
Improved protein-protein interactions prediction via weighted sparse representation model combining continuous wavelet descriptor and PseAA composition. BMC Syst. Biol. 10(4): 485-494 (2016) - [j6]Liang Li
Distributed image understanding with semantic dictionary and semantic expansion. Neurocomputing 174: 384-392 (2016) - [j5]Yu-An Huang
Construction of reliable protein-protein interaction networks using weighted sparse representation based classifier with pseudo substitution matrix representation features. Neurocomputing 218: 131-138 (2016) - [j4]Xing Chen, Biao Ren
NLLSS: Predicting Synergistic Drug Combinations Based on Semi-supervised Learning. PLoS Comput. Biol. 12(7) (2016) - 2014
- [j3]Xing Chen, Wei Xiong, Jixiang Meng:
Super-λ Connectivity of Bipartite Graphs. Ars Comb. 117: 353-361 (2014) - [c1]Liang Li
Large scale image understanding with non-convex multi-task learning. GAMENETS 2014: 1-6 - 2013
- [j2]Xing Chen, Guiying Yan:
Novel human lncRNA-disease association inference based on lncRNA expression profiles. Bioinform. 29(20): 2617-2624 (2013) - [j1]Geng Chen, Ziyun Wang, Dongqing Wang
LncRNADisease: a database for long-non-coding RNA-associated diseases. Nucleic Acids Res. 41(Database-Issue): 983-986 (2013)
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last updated on 2025-03-24 00:29 CET by the dblp team
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