Benchmarking methods for detecting differential states between conditions from multi-subject single-cell RNA-seq data

Abstract Single-cell RNA-sequencing (scRNA-seq) enables researchers to quantify transcriptomes of thousands of cells simultaneously and study transcriptomic changes between cells. scRNA-seq datasets increasingly include multisubject, multicondition experiments to investigate cell-type-specific diffe...

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Veröffentlicht in:	Briefings in bioinformatics Jg. 23; H. 5
Hauptverfasser:	Junttila, Sini, Smolander, Johannes, Elo, Laura L
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	England Oxford University Press 20.09.2022 Oxford Publishing Limited (England)
Schlagworte:	Benchmarking Gene Expression Profiling - methods Gene sequencing Humans Problem Solving Protocol RNA RNA-Seq Sequence Analysis, RNA - methods Transcriptomes Transcriptomics RNA sequencing (RNA-seq) differential expression single cell
ISSN:	1467-5463, 1477-4054, 1477-4054
Online-Zugang:	Volltext
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