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Journal of Computational Biology : a Journal of Computational Molecular Cell Biology|August 15, 2018
Prediction of Microbe-Disease Associations by Graph Regularized Non-Negative Matrix FactorizationYue Liu, Shu-Lin Wang, Jun-Feng ZhangIEEE/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 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 LiuBiochemical Genetics|May 23, 2019
A Novel Method for Identifying the Potential Cancer Driver Genes Based on Molecular Data IntegrationWei Zhang, Shu-Lin WangComputational Biology and Chemistry|April 3, 2018
An efficient strategy for identifying cancer-related key genes based on graph entropyWei Zhang, Shu-Lin WangJournal 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 WangIEEE/ACM Transactions on Computational Biology and Bioinformatics|July 11, 2018
An Integrated Framework for Identifying Mutated Driver Pathway and Cancer ProgressionWei Zhang, Shu-Lin WangEcology and Evolution|July 14, 2021
Burrow characteristics and ecological significance of Marmota himalayana in the northeastern Qinghai-Tibetan PlateauShu-Lin Wang, Fu-Jiang HouBMC Bioinformatics|July 3, 2013
Diagnostic prediction of complex diseases using phase-only correlation based on virtual sample templateShu-Lin Wang, Yaping Fang, Jianwen FangJournal 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 ZhangPageof 499