Ratios of count data such as obtained from RNA-seq are modelled using Bayesian statistics to derive posteriors for effects sizes. This approach is described in Erhard & Zimmer (2015) <doi:10.1093/nar/gkv696> and Erhard (2018) <doi:10.1093/bioinformatics/bty471>.
Package details |
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Author | Florian Erhard |
Bioconductor views | Bayesian DifferentialExpression Transcriptomics |
Maintainer | Florian Erhard <florian.erhard@uni-wuerzburg.de> |
License | Apache License (>= 2) |
Version | 0.2.3 |
URL | https://github.com/erhard-lab/lfc |
Package repository | View on GitHub |
Installation |
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