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Vieth, Beate; Ziegenhain, Christoph; Parekh, Swati; Enard, Wolfgang; Hellmann, Ines (2017): powsimR: power analysis for bulk and single cell RNA-seq experiments. In: Bioinformatics, Vol. 33, No. 21: pp. 3486-3488
Full text not available from 'Open Access LMU'.

Abstract

Power analysis is essential to optimize the design of RNA-seq experiments and to assess and compare the power to detect differentially expressed genes in RNA-seq data. PowsimR is a flexible tool to simulate and evaluate differential expression from bulk and especially single-cell RNA-seq data making it suitable for a priori and posterior power analyses. Supplementary information: Supplementary data are available at Bioinformatics online.