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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>.
Version: | 0.2.3 |
Imports: | stats |
Suggests: | knitr, rmarkdown, DESeq2, SummarizedExperiment |
Published: | 2023-04-19 |
DOI: | 10.32614/CRAN.package.lfc |
Author: | Florian Erhard |
Maintainer: | Florian Erhard <florian.erhard at uni-wuerzburg.de> |
BugReports: | https://github.com/erhard-lab/lfc/issues |
License: | Apache License (≥ 2) |
URL: | https://github.com/erhard-lab/lfc |
NeedsCompilation: | no |
Materials: | README |
CRAN checks: | lfc results |
Reference manual: | lfc.pdf |
Vignettes: |
Using LFC |
Package source: | lfc_0.2.3.tar.gz |
Windows binaries: | r-devel: lfc_0.2.3.zip, r-release: lfc_0.2.3.zip, r-oldrel: lfc_0.2.3.zip |
macOS binaries: | r-release (arm64): lfc_0.2.3.tgz, r-oldrel (arm64): lfc_0.2.3.tgz, r-release (x86_64): lfc_0.2.3.tgz, r-oldrel (x86_64): lfc_0.2.3.tgz |
Old sources: | lfc archive |
Reverse imports: | grandR |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.