scCATCH: Automatic Annotation on Cell Types of Clusters from Single-Cell RNA Sequencing Data
Abstract
Recent advancements in single-cell RNA sequencing (scRNA-seq) have facilitated the classification of thousands of cells through transcriptome profiling, wherein accurate cell type identification is critical for mechanistic studies. In most current analysis protocols, cell type-based cluster annotation is manually performed and heavily relies on prior knowledge, resulting in poor replicability of cell type annotation. This study aimed to...
Paper Details
Title
scCATCH: Automatic Annotation on Cell Types of Clusters from Single-Cell RNA Sequencing Data
Published Date
Mar 1, 2020
Journal
Volume
23
Issue
3
Pages
100882 - 100882
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