An interpretable deep-learning architecture of capsule networks for identifying cell-type gene expression programs from single-cell RNA-sequencing data-MedSci.cn

An interpretable deep-learning architecture of capsule networks for identifying cell-type gene expression programs from single-cell RNA-sequencing data

Wang, LF; Nie, R; Yu, ZY; Xin, RY; Zheng, CH; Zhang, Z; Zhang, J; Cai, J

Cai, J (corresponding author), China Natl Ctr Bioinformat, Beijing, Peoples R China.; Cai, J (corresponding author), Chinese Acad Sci, Beijing Inst Genom, Key Lab Genom & Precis Med, Beijing, Peoples R China.; Cai, J (corresponding author), Univ Chinese Acad Sci, Beijing, Peoples R China.; Zhang, J (corresponding author), Beijing Normal Univ, Sch Syst Sci, Beijing, Peoples R China.

Abstract

Single-cell RNA sequencing (scRNA-seq) technologies are used to characterize the heterogeneity of cells in cell types, developmental stages and spatia......

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An interpretable deep-learning architecture of capsule networks for identifying cell-type gene expression programs from single-cell RNA-sequencing data

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