EBSeq: an empirical Bayes hierarchical model for inference in RNA-seq experiments

Messenger RNA expression is important in normal development and differentiation, as well as in manifestation of disease. RNA-seq experiments allow for the identification of differentially expressed (DE) genes and their corresponding isoforms on a genome-wide scale. However, statistical methods are r...

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Veröffentlicht in:	Bioinformatics 2013-04, Vol.29 (8), p.1035-1043
Hauptverfasser:	Leng, Ning, Dawson, John A, Thomson, James A, Ruotti, Victor, Rissman, Anna I, Smits, Bart M G, Haag, Jill D, Gould, Michael N, Stewart, Ron M, Kendziorski, Christina
Format:	Artikel
Sprache:	eng
Schlagworte:	Bayes Theorem Bayesian analysis Bioinformatics Cell Line Embryonic Stem Cells - metabolism Empirical analysis Estimating Gene Expression Profiling - methods Genes Genome Inference Models, Statistical Original Papers RNA Isoforms - metabolism RNA, Messenger - metabolism Sequence Analysis, RNA - methods Software Statistical methods Uncertainty
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