Xing Chen
Orcid: 0000-0001-9028-5342Affiliations:
- China University of Mining and Technology, Xuzhou, China
According to our database1,
Xing Chen
authored at least 58 papers
between 2013 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
CellDialog: A Computational Framework for Ligand-Receptor-Mediated Cell-Cell Communication Analysis.
IEEE J. Biomed. Health Informatics, January, 2024
2023
GPCNDTA: Prediction of drug-target binding affinity through cross-attention networks augmented with graph features and pharmacophores.
Comput. Biol. Medicine, November, 2023
Deciphering ligand-receptor-mediated intercellular communication based on ensemble deep learning and the joint scoring strategy from single-cell transcriptomic data.
Comput. Biol. Medicine, September, 2023
MCFF-MTDDI: multi-channel feature fusion for multi-typed drug-drug interaction prediction.
Briefings Bioinform., July, 2023
SNRMPACDC: computational model focused on Siamese network and random matrix projection for anticancer synergistic drug combination prediction.
Briefings Bioinform., January, 2023
2022
Predicting drug-target binding affinity through molecule representation block based on multi-head attention and skip connection.
Briefings Bioinform., 2022
Ensemble of kernel ridge regression-based small molecule-miRNA association prediction in human disease.
Briefings Bioinform., 2022
Dual-Network Collaborative Matrix Factorization for predicting small molecule-miRNA associations.
Briefings Bioinform., 2022
Briefings Bioinform., 2022
Updated review of advances in microRNAs and complex diseases: towards systematic evaluation of computational models.
Briefings Bioinform., 2022
Updated review of advances in microRNAs and complex diseases: experimental results, databases, webservers and data fusion.
Briefings Bioinform., 2022
Updated review of advances in microRNAs and complex diseases: taxonomy, trends and challenges of computational models.
Briefings Bioinform., 2022
Analyses of cell-to-cell communication combining a heterogeneous deep ensemble framework and scoring approaches from single-cell RNA sequencing data.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022
A deep learning-based unsupervised learning method for spatially resolved transcriptomic data analysist.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022
2021
Identification of miRNA-disease associations via multiple information integration with Bayesian ranking.
Briefings Bioinform., 2021
Briefings Bioinform., 2021
Drug-pathway association prediction: from experimental results to computational models.
Briefings Bioinform., 2021
Circular RNAs and complex diseases: from experimental results to computational models.
Briefings Bioinform., 2021
Predicting potential small molecule-miRNA associations based on bounded nuclear norm regularization.
Briefings Bioinform., 2021
Briefings Bioinform., 2021
2020
MicroRNA-small molecule association identification: from experimental results to computational models.
Briefings Bioinform., 2020
2019
Integrating random walk and binary regression to identify novel miRNA-disease association.
BMC Bioinform., December, 2019
LMTRDA: Using logistic model tree to predict MiRNA-disease associations by fusing multi-source information of sequences and similarities.
PLoS Comput. Biol., 2019
PLoS Comput. Biol., 2019
Prediction of potential miRNA-disease associations using matrix decomposition and label propagation.
Knowl. Based Syst., 2019
RFSMMA: A New Computational Model to Identify and Prioritize Potential Small Molecule-MiRNA Associations.
J. Chem. Inf. Model., 2019
A Unified Framework for the Prediction of Small Molecule-MicroRNA Association Based on Cross-Layer Dependency Inference on Multilayered Networks.
J. Chem. Inf. Model., 2019
Adaptive boosting-based computational model for predicting potential miRNA-disease associations.
Bioinform., 2019
Briefings Bioinform., 2019
RNA methylation and diseases: experimental results, databases, Web servers and computational models.
Briefings Bioinform., 2019
2018
An improved efficient rotation forest algorithm to predict the interactions among proteins.
Soft Comput., 2018
MDHGI: Matrix Decomposition and Heterogeneous Graph Inference for miRNA-disease association prediction.
PLoS Comput. Biol., 2018
MeT-DB V2.0: elucidating context-specific functions of N6-methyl-adenosine methyltranscriptome.
Nucleic Acids Res., 2018
Inferring potential small molecule-miRNA association based on triple layer heterogeneous network.
J. Cheminformatics, 2018
A Computational-Based Method for Predicting Drug-Target Interactions by Using Stacked Autoencoder Deep Neural Network.
J. Comput. Biol., 2018
DroidDet: Effective and robust detection of android malware using static analysis along with rotation forest model.
Neurocomputing, 2018
Bioinform., 2018
Bioinform., 2018
A novel approach based on KATZ measure to predict associations of human microbiota with non-infectious diseases.
Bioinform., 2018
Fault Tolerance of λ-Optimal Graphs.
Ars Comb., 2018
2017
PSPEL: In Silico Prediction of Self-Interacting Proteins from Amino Acids Sequences Using Ensemble Learning.
IEEE ACM Trans. Comput. Biol. Bioinform., 2017
PBMDA: A novel and effective path-based computational model for miRNA-disease association prediction.
PLoS Comput. Biol., 2017
LRSSLMDA: Laplacian Regularized Sparse Subspace Learning for MiRNA-Disease Association prediction.
PLoS Comput. Biol., 2017
J. Biomed. Informatics, 2017
DLREFD: a database providing associations of long non-coding RNAs, environmental factors and phenotypes.
Database J. Biol. Databases Curation, 2017
NRDTD: a database for clinically or experimentally supported non-coding RNAs and drug targets associations.
Database J. Biol. Databases Curation, 2017
Long non-coding RNAs and complex diseases: from experimental results to computational models.
Briefings Bioinform., 2017
Computational Methods for the Prediction of Drug-Target Interactions from Drug Fingerprints and Protein Sequences by Stacked Auto-Encoder Deep Neural Network.
Proceedings of the Bioinformatics Research and Applications - 13th International Symposium, 2017
2016
PLoS Comput. Biol., 2016
Construction of reliable protein-protein interaction networks using weighted sparse representation based classifier with pseudo substitution matrix representation features.
Neurocomputing, 2016
Stochastic modeling suggests that noise reduces differentiation efficiency by inducing a heterogeneous drug response in glioma differentiation therapy.
BMC Syst. Biol., 2016
Improved protein-protein interactions prediction via weighted sparse representation model combining continuous wavelet descriptor and PseAA composition.
BMC Syst. Biol., 2016
Sequence-based prediction of protein-protein interactions using weighted sparse representation model combined with global encoding.
BMC Bioinform., 2016
2014
Super-λ Connectivity of Bipartite Graphs.
Ars Comb., 2014
2013
Nucleic Acids Res., 2013
Novel human lncRNA-disease association inference based on lncRNA expression profiles.
Bioinform., 2013