Wei Zhang

Orcid: 0000-0002-3106-8652

Affiliations:
  • Changsha University, College of Computer Engineering & Applied Mathematics, Hunan Province Key Laboratory of Industrial Internet Technology and Security, China
  • Hunan University, College of Computer Science and Electronic Engineering, Changsha, China (PhD 2019)
  • Kunming University of Science and Technology, China (former)


According to our database1, Wei Zhang authored at least 11 papers between 2017 and 2022.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2022
Are dropout imputation methods for scRNA-seq effective for scATAC-seq data?
Briefings Bioinform., 2022

2021
DMFMDA: Prediction of Microbe-Disease Associations Based on Deep Matrix Factorization Using Bayesian Personalized Ranking.
IEEE ACM Trans. Comput. Biol. Bioinform., 2021

Identification of Cancer Driver Modules Based on Graph Clustering from Multiomics Data.
J. Comput. Biol., 2021

A neural collaborative filtering method for identifying miRNA-disease associations.
Neurocomputing, 2021

2020
Definition of a New Metric With Mutual Exclusivity and Coverage for Identifying Cancer Driver Modules.
IEEE Access, 2020

2019
An Integrated Framework for Identifying Mutated Driver Pathway and Cancer Progression.
IEEE ACM Trans. Comput. Biol. Bioinform., 2019

Prediction of Potential Associations Between MicroRNA and Disease Based on Bayesian Probabilistic Matrix Factorization Model.
J. Comput. Biol., 2019

2018
MIMPFC: Identifying miRNA-mRNA regulatory modules by combining phase-only correlation and improved rough-fuzzy clustering.
J. Bioinform. Comput. Biol., 2018

An efficient strategy for identifying cancer-related key genes based on graph entropy.
Comput. Biol. Chem., 2018

Inference of Cancer Progression With Probabilistic Graphical Model From Cross-Sectional Mutation Data.
IEEE Access, 2018

2017
GSMC: Combining Parallel Gibbs Sampling with Maximal Cliques for Hunting DNA Motif.
J. Comput. Biol., 2017


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