Data_Sheet_1_SCSA: A Cell Type Annotation Tool for Single-Cell RNA-seq Data.xlsx (1.79 MB)
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Data_Sheet_1_SCSA: A Cell Type Annotation Tool for Single-Cell RNA-seq Data.xlsx

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posted on 12.05.2020, 05:09 by Yinghao Cao, Xiaoyue Wang, Gongxin Peng

Currently most methods take manual strategies to annotate cell types after clustering the single-cell RNA sequencing (scRNA-seq) data. Such methods are labor-intensive and heavily rely on user expertise, which may lead to inconsistent results. We present SCSA, an automatic tool to annotate cell types from scRNA-seq data, based on a score annotation model combining differentially expressed genes (DEGs) and confidence levels of cell markers from both known and user-defined information. Evaluation on real scRNA-seq datasets from different sources with other methods shows that SCSA is able to assign the cells into the correct types at a fully automated mode with a desirable precision.

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