BioinformaticsBioinformaticsPeer-reviewed journal article
powsimR: Power analysis for bulk and single cell RNA-seq experiments
Beate ViethiD, Christoph ZiegenhainiD, Swati ParekhiD, Wolfgang EnardiD, Ines HellmanniD
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.
- assay: bulk RNA-seq
- assay: scRNA-seq
- research focus: benchmarking
- research focus: differential expression
- approach: statistical model
- Citations
- 155
- FWCI
- 6.59
- Field percentile
- top 2%
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