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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 |
| 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.
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