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Plos Computational Biology|June 2, 2021
coupleCoC+: An information-theoretic co-clustering-based transfer learning framework for the integrative analysis of single-cell genomic dataPengcheng Zeng, Zhixiang LinIEEE/ACM Transactions on Computational Biology and Bioinformatics|August 17, 2023
scICML: Information-Theoretic Co-Clustering-Based Multi-View Learning for the Integrative Analysis of Single-Cell Multi-Omics DataPengcheng Zeng, Zhixiang LinBriefings in Bioinformatics|December 6, 2020
Coupled co-clustering-based unsupervised transfer learning for the integrative analysis of single-cell genomic dataPengcheng Zeng, Jiaxuan Wangwu, Zhixiang LinBioinformatics (Oxford, England)|November 16, 2022
scAWMV: an adaptively weighted multi-view learning framework for the integrative analysis of parallel scRNA-seq and scATAC-seq dataPengcheng Zeng, Yuanyuan Ma, Zhixiang LinBriefings in Bioinformatics|April 5, 2022
JSNMF enables effective and accurate integrative analysis of single-cell multiomics dataYuanyuan Ma, Zexuan Sun, Pengcheng Zeng, et al.Briefings in Bioinformatics|April 20, 2026
GALA: a unified landmark-free framework for coarse-to-fine spatial alignment across resolutions and modalities in spatial transcriptomicsTao Ding, Pengcheng ZengFrontiers in Genetics|March 3, 2023
iPoLNG-An unsupervised model for the integrative analysis of single-cell multiomics dataWenyu Zhang, Zhixiang LinBioinformatics (Oxford, England)|December 1, 2025
Guided co-clustering transfer across unpaired and paired single-cell multi-omics dataHongyao Li, Yunrui Liu, Pengcheng ZengBriefings in Bioinformatics|January 3, 2024
SGCAST: symmetric graph convolutional auto-encoder for scalable and accurate study of spatial transcriptomicsJinzhao Li, Jiong Wang, Zhixiang LinBioinformatics (Oxford, England)|September 10, 2025
InterVelo: a mutually enhancing model for estimating pseudotime and RNA velocity in multi-omic single-cell dataYurou Wang, Zhixiang Lin, Tao WangPageof 6