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Computational Biology and Chemistry|April 3, 2018
An efficient strategy for identifying cancer-related key genes based on graph entropyWei Zhang, Shu-Lin Wang
IEEE/ACM Transactions on Computational Biology and Bioinformatics|July 11, 2018
An Integrated Framework for Identifying Mutated Driver Pathway and Cancer ProgressionWei Zhang, Shu-Lin Wang
Journal of Computational Biology : a Journal of Computational Molecular Cell Biology|June 28, 2019
Prediction of Potential Associations Between MicroRNA and Disease Based on Bayesian Probabilistic Matrix Factorization ModelGuo Mao, Shu-Lin Wang, Wei Zhang
Journal of Computational Biology : a Journal of Computational Molecular Cell Biology|September 16, 2021
Identification of Cancer Driver Modules Based on Graph Clustering from Multiomics DataWei Zhang, Shu-Lin Wang, Yue Liu
Journal of Bioinformatics and Computational Biology|December 29, 2017
MIMPFC: Identifying miRNA-mRNA regulatory modules by combining phase-only correlation and improved rough-fuzzy clusteringDan Luo, Shu-Lin Wang, Jianwen Fang, et al.
Journal of Computational Biology : a Journal of Computational Molecular Cell Biology|November 9, 2017
GSMC: Combining Parallel Gibbs Sampling with Maximal Cliques for Hunting DNA MotifChao Pei, Shu-Lin Wang, Jianwen Fang, et al.
Dong Wu Xue Yan Jiu = Zoological Research|May 29, 2015
Autophagy prevents autophagic cell death in Tetrahymena in response to oxidative stressSi-Wei Zhang, Jiang-Nan Feng, Yi Cao, et al.
IEEE/ACM Transactions on Computational Biology and Bioinformatics|August 21, 2020
DMFMDA: Prediction of Microbe-Disease Associations Based on Deep Matrix Factorization Using Bayesian Personalized RankingYue Liu, Shu-Lin Wang, Jun-Feng Zhang, et al.
Journal of Bioinformatics and Computational Biology|June 13, 2020
Exploring the potential microRNA sponge interactions of breast cancer based on some known interactionsLei Tian, Shu-Lin Wang
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