Article

ASURAT: functional annotation-driven unsupervised clustering of single-cell transcriptomes

2021-06-10

Abstract excerpt

<h4>Motivation</h4> Single-cell RNA sequencing (scRNA-seq) analysis reveals heterogeneity and dynamic cell transitions. However, conventional gene-based analyses require intensive manual curation to interpret the biological implications of computational results. Hence, a theory for efficiently annotating individual cells is necessary. <h4>Results</h4> We present ASURAT, a computational pipeline for simultaneousl...

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Literature Corpus work: 379e398e-3c1f-5df1-a2e9-3f01e67ce165
DOI: 10.1101/2021.06.09.447731

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