Showing results (1-10 of 1,204) with videos related to
Sort By:
Pageof 121
Briefings in Bioinformatics|June 14, 2026
A unified framework for selecting and evaluating cell-type-specific gene co-expressions in single-cell dataXinning Shan, Yingxin Lin, Hongyu ZhaoBiorxiv : the Preprint Server for Biology|November 28, 2024
Inferring Cell-Type-Specific Co-Expressed Genes from Single Cell DataXinning Shan, Hongyu ZhaoBiorxiv : the Preprint Server for Biology|December 23, 2022
Cell-type-specific co-expression inference from single cell RNA-sequencing dataChang Su, Zichun Xu, Xinning Shan, et al.Nature Communications|August 10, 2023
Cell-type-specific co-expression inference from single cell RNA-sequencing dataChang Su, Zichun Xu, Xinning Shan, et al.Biorxiv : the Preprint Server for Biology|April 1, 2025
VISTA Uncovers Missing Gene Expression and Spatial-induced Information for Spatial Transcriptomic Data AnalysisTianyu Liu, Yingxin Lin, Xiao Luo, et al.Research Square|November 24, 2025
VISTA Uncovers Missing Gene Expression and Spatial-induced Information for Spatial Transcriptomic Data AnalysisTianyu Liu, Yingxin Lin, Xiao Luo, et al.Communications Biology|January 8, 2026
VISTA uncovers missing gene expression and spatial-induced information for spatial transcriptomic data analysisTianyu Liu, Yingxin Lin, Xiao Luo, et al.Biorxiv : the Preprint Server for Biology|July 3, 2026
Spatial co-expression and cell-cell communication inference from spatially resolved transcriptomics with CONCISEJia Zhao, Xinning Shan, Gefei Wang, et al.Nature Communications|October 28, 2025
UNICORN: Towards universal cellular expression prediction with a multi-task learning frameworkTianyu Liu, Tinglin Huang, Lijun Wang, et al.Nature Communications|May 29, 2025
scMODAL: a general deep learning framework for comprehensive single-cell multi-omics data alignment with feature linksGefei Wang, Jia Zhao, Yingxin Lin, et al.Pageof 121