scPretrain: multi-task self-supervised learning for cell-type classification

Abstract Motivation Rapidly generated scRNA-seq datasets enable us to understand cellular differences and the function of each individual cell at single-cell resolution. Cell-type classification, which aims at characterizing and labeling groups of cells according to their gene expression, is one of...

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Veröffentlicht in:	Bioinformatics 2022-03, Vol.38 (6), p.1607-1614
Hauptverfasser:	Zhang, Ruiyi, Luo, Yunan, Ma, Jianzhu, Zhang, Ming, Wang, Sheng
Format:	Artikel
Sprache:	eng
Schlagworte:	Cluster Analysis Random Forest Single-Cell Analysis - methods Support Vector Machine
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