BioRank: A Similarity Assessment Method for Single Cell Clustering. - Yunpei Xu; Hong-Dong Li; Yi Pan 001; Feng Luo 001; Jianxin Wang 001 (BIBM, 2018)

A Global Similarity Learning for Clustering of Single-Cell RNA-Seq Data. - Xiaoshu Zhu; Lilu Guo; Yunpei Xu; Hong-Dong Li; Xingyu Liao; Fang-Xiang Wu; Xiaoqing Peng (BIBM, 2019)

Classification of autism spectrum disorder by combining brain connectivity and deep neural network classifier. - Yazhou Kong; Jianliang Gao; Yunpei Xu; Yi Pan 001; Jianxin Wang 001; Jin Liu 012 (Neurocomputing, 2019)

A network enhancement-based method for clustering of single cell RNA-seq data. - Xiaoshu Zhu; Lilu Guo; Rongyuan Li; Yunpei Xu; Fang-Xiang Wu; Xiaoqing Peng; Hong-Dong Li (Int. J. Data Min. Bioinform., 2020)

ClusterMine: A knowledge-integrated clustering approach based on expression profiles of gene sets. - Hong-Dong Li; Yunpei Xu; Xiaoshu Zhu; Quan Liu; Gilbert S. Omenn; Jianxin Wang 001 (J. Bioinform. Comput. Biol., 2020)

HGIMC: heterogeneous graph inference with matrix completion for computational drug repositioning. - Mengyun Yang; Lan Huang; Yunpei Xu; Chengqian Lu; Jianxin Wang 001 (Zenodo, 2020)

Heterogeneous graph inference with matrix completion for computational drug repositioning. - Mengyun Yang; Lan Huang; Yunpei Xu; Chengqian Lu; Jianxin Wang 001 (Bioinform., 2021)

A Gene Rank Based Approach for Single Cell Similarity Assessment and Clustering. - Yunpei Xu; Hong-Dong Li; Yi Pan 001; Feng Luo 001; Fang-Xiang Wu; Jianxin Wang 001 (IEEE ACM Trans. Comput. Biol. Bioinform., 2021)

CellBRF: a feature selection method for single-cell clustering using cell balance and random forest. - Yunpei Xu; Hong-Dong Li; Cui-Xiang Lin; Ruiqing Zheng; Yaohang Li; Jinhui Xu 001; Jianxin Wang 001 (Bioinform., 2023)

IsoCell: An Approach to Enhance Single Cell Clustering by Integrating Isoform-Level Expression Through Orthogonal Projection. - Yingyi Liu; Hong-Dong Li; Yunpei Xu; Yi-Wei Liu; Xiaoqing Peng; Jianxin Wang 001 (IEEE ACM Trans. Comput. Biol. Bioinform., 2023)