Clustering single cells: a review of approaches on high-and low-depth single-cell RNA-seq data
Author(s) -
Vilas Me
Publication year - 2018
Publication title -
briefings in functional genomics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.22
H-Index - 67
eISSN - 2041-2647
pISSN - 2041-2649
DOI - 10.1093/bfgp/ely001
Subject(s) - rna seq , biology , single cell analysis , cluster analysis , computational biology , cell , transcriptome , genetics , artificial intelligence , computer science , gene expression , gene
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