Knowledge-based classification of fine-grained immune cell types in single-cell RNA-Seq data
Abstract
Single-cell RNA sequencing (scRNA-Seq) is an emerging strategy for characterizing immune cell populations. Compared to flow or mass cytometry, scRNA-Seq could potentially identify cell types and activation states that lack precise cell surface markers. However, scRNA-Seq is currently limited due to the need to manually classify each immune cell from its transcriptional profile. While recently developed algorithms accurately annotate coarse cell...
Paper Details
Title
Knowledge-based classification of fine-grained immune cell types in single-cell RNA-Seq data
Published Date
Mar 3, 2021
Journal
Volume
22
Issue
5
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