Two feature selections for analysis of microarray data. - Yusen Zhang 002; Liangyun Ren (BIC-TA, 2010)

Analysis of protein sequence similarity. - Yusen Zhang 002; Xiangtian Yu (BIC-TA, 2010)

q-Wiener index of some compound trees. - Jiaguo Liu; Ivan Gutman; Zengchao Mu; Yusen Zhang 002 (Appl. Math. Comput., 2012)

A kernel-based clustering method for gene selection with gene expression data. - Huihui Chen; Yusen Zhang 002; Ivan Gutman (J. Biomed. Informatics, 2016)

Computational prediction of therapeutic peptides based on graph index. - Chunrui Xu; Li Ge; Yusen Zhang 002; Matthias Dehmer; Ivan Gutman (J. Biomed. Informatics, 2017)

Feature selection of gene expression data for Cancer classification using double RBF-kernels. - Shenghui Liu; Chunrui Xu; Yusen Zhang 002; Jiaguo Liu; Bin Yu 007; Xiaoping Liu 002; Matthias Dehmer (BMC Bioinform., 2018)

mHMDA: Human Microbe-Disease Association Prediction by Matrix Completion and Multi-Source Information. - Chuanyan Wu; Rui Gao 006; Yusen Zhang 002 (IEEE Access, 2019)

On efficient network similarity measures. - Matthias Dehmer; Zengqiang Chen 001; Yongtang Shi; Yusen Zhang 002; Shailesh Tripathi; Modjtaba Ghorbani; Abbe Mowshowitz; Frank Emmert-Streib (Appl. Math. Comput., 2019)

PTPD: predicting therapeutic peptides by deep learning and word2vec. - Chuanyan Wu; Rui Gao 006; Yusen Zhang 002; Yang De Marinis (BMC Bioinform., 2019)

Towards detecting structural branching and cyclicity in graphs: A polynomial-based approach. - Matthias Dehmer; Zengqiang Chen 001; Frank Emmert-Streib; Abbe Mowshowitz; Yongtang Shi; Shailesh Tripathi; Yusen Zhang 002 (Inf. Sci., 2019)

FS-GBDT: identification multicancer-risk module via a feature selection algorithm by integrating Fisher score and GBDT. - Jialin Zhang; Da Xu; Kaijing Hao; Yusen Zhang 002; Wei Chen 039; Jiaguo Liu; Rui Gao 006; Chuanyan Wu; Yang De Marinis (Briefings Bioinform., 2021)

DriverRWH: discovering cancer driver genes by random walk on a gene mutation hypergraph. - Chenye Wang; Junhan Shi; Jiansheng Cai; Yusen Zhang 002; Xiaoqi Zheng; Naiqian Zhang (BMC Bioinform., 2022)

A Tensor Method Based on Enhanced Tensor Nuclear Norm and Hypergraph Laplacian Regularization for Pan-Cancer Omics Data Analysis. - Na Yu; Yusen Zhang 002; Rui Gao 006 (IEEE J. Biomed. Health Informatics, 2023)

MaxCLK: discovery of cancer driver genes via maximal clique and information entropy of modules. - Jian Liu; Fubin Ma; Yongdi Zhu; Naiqian Zhang; Lingming Kong; Jia Mi; Haiyan Cong; Rui Gao 006; Mingyi Wang; Yusen Zhang 002 (Bioinform., 2023)

SCSMD: Single Cell Consistent Clustering based on Spectral Matrix Decomposition. - Ran Jia; Ying-Zan Ren; Po-Nian Li; Rui Gao 006; Yusen Zhang 002 (Briefings Bioinform., 2024)

A novel hypergraph model for identifying and prioritizing personalized drivers in cancer. - Naiqian Zhang; Fubin Ma; Dong Guo; Yuxuan Pang; Chenye Wang; Yusen Zhang 002; Xiaoqi Zheng; Mingyi Wang (PLoS Comput. Biol., 2024)

Diversity and consistency graph learning guided multi-view unsupervised feature selection. - Hanxiao Xu; Da Xu; Yusen Zhang 002 (Knowl. Based Syst., 2025)