Deep learning enables accurate alignment of single cell RNA-seq data. - Yuanke Zhong; Jing Li; Jie Liu; Yan Zheng; Xuequn Shang 001; Jialu Hu (BIBM, 2019)

MD-SVM: a novel SVM-based algorithm for the motif discovery of transcription factor binding sites. - Jialu Hu; Jingru Wang; Jianan Lin; Tianwei Liu; Yuanke Zhong; Jie Liu; Yan Zheng; Yiqun Gao; Junhao He; Xuequn Shang 001 (BMC Bioinform., 2019)

Twadn: an efficient alignment algorithm based on time warping for pairwise dynamic networks. - Yuanke Zhong; Jing Li; Junhao He; Yiqun Gao; Jie Liu; Jingru Wang; Xuequn Shang 001; Jialu Hu (BMC Bioinform., 2020)

SCC: an accurate imputation method for scRNA-seq dropouts based on a mixture model. - Yan Zheng; Yuanke Zhong; Jialu Hu; Xuequn Shang 001 (BMC Bioinform., 2021)

A versatile and scalable single-cell data integration algorithm based on domain-adversarial and variational approximation. - Jialu Hu; Yuanke Zhong; Xuequn Shang 001 (Briefings Bioinform., 2022)

A multi-view latent variable model reveals cellular heterogeneity in complex tissues for paired multimodal single-cell data. - Yuwei Wang; Bin Lian; Haohui Zhang; Yuanke Zhong; Jie He; Fashuai Wu; Knut Reinert; Xuequn Shang 001; Hui Yang; Jialu Hu (Bioinform., 2023)