代表性论文： [1] Zhang W, Wang S L. An integrated framework for identifying mutated driver pathway and cancer progression[J]. IEEE/ACM transactions on computational biology and bioinformatics, 2017, 16(2): 455-464. [2] Zhang W, Wang S L. An efficient strategy for identifying cancer-related key genes based on graph entropy[J]. Computational biology and chemistry, 2018, 74: 142-148. [3] Zhang W, Wang S L. Inference of Cancer Progression With Probabilistic Graphical Model From Cross-Sectional Mutation Data[J]. IEEE Access, 2018, 6: 22889-22898. [4] Zhang W, Wang S L. A Novel Method for Identifying the Potential Cancer Driver Genes Based on Molecular Data Integration[J]. Biochemical genetics, 2020, 58: 16-39. [5] Zhang W, Zeng Y, Wang L, Liu Y ,Cheng Y. An Effective Graph Clustering Method to Identify Cancer Driver Modules[J]. Frontiers in Bioengineering and biotechnology, 2020, 8(271). [6] Pei C, Wang S L, Fang J, Zhang W. GSMC: Combining parallel Gibbs sampling with maximal cliques for hunting DNA motif[J]. Journal of Computational Biology, 2017, 24(12): 1243-1253. [7] Luo D, Wang S L, Fang J, Zhang W. MIMPFC: Identifying miRNA–mRNA regulatory modules by combining phase-only correlation and improved rough-fuzzy clustering[J]. Journal of bioinformatics and computational biology, 2018, 16(01): 522-531. [8] Mao G, Wang S L, Zhang W. Prediction of Potential Associations Between MicroRNA and Disease Based on Bayesian Probabilistic Matrix Factorization Model[J]. Journal of Computational Biology, 2019, 26(9):1030-1039. |
