Beta-Poisson model for single-cell RNA-seq data analyses

Single-cell RNA-sequencing technology allows detection of gene expression at the single-cell level. One typical feature of the data is a bimodality in the cellular distribution even for highly expressed genes, primarily caused by a proportion of non-expressing cells. The standard and the over-disper...

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Veröffentlicht in:	Bioinformatics (Oxford, England) England), 2016-07, Vol.32 (14), p.2128-2135
Hauptverfasser:	Vu, Trung Nghia, Wills, Quin F, Kalari, Krishna R, Niu, Nifang, Wang, Liewei, Rantalainen, Mattias, Pawitan, Yudi
Format:	Artikel
Sprache:	eng
Schlagworte:	Computational Biology - methods Gene Expression Profiling Models, Theoretical RNA Sequence Analysis, RNA Single-Cell Analysis
Online-Zugang:	Volltext
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