scSTEM: clustering pseudotime ordered single-cell data

Abstract We develop scSTEM, single-cell STEM, a method for clustering dynamic profiles of genes in trajectories inferred from pseudotime ordering of single-cell RNA-seq (scRNA-seq) data. scSTEM uses one of several metrics to summarize the expression of genes and assigns a p-value to clusters enablin...

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Bibliografski detalji

Glavni autori:	Qi Song, Jingtao Wang, Ziv Bar-Joseph
Format:	Artigo
Jezik:	Inglês
Izdano:	BMC 2022-07-01
Serija:	Genome Biology
Teme:	Single cell Genomics Gene clustering Visualization
Online pristup:	https://doi.org/10.1186/s13059-022-02716-9
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