RNAseqNet: Log-Linear Poisson Graphical Model with Hot-Deck Multiple Imputation

Infer log-linear Poisson Graphical Model with an auxiliary data set. Hot-deck multiple imputation method is used to improve the reliability of the inference with an auxiliary dataset. Standard log-linear Poisson graphical model can also be used for the inference and the Stability Approach for Regularization Selection (StARS) is implemented to drive the selection of the regularization parameter. The method is fully described in <doi:10.1093/bioinformatics/btx819>.

Version: 0.1.5
Depends: R (≥ 3.1.0), ggplot2
Imports: igraph (≥ 1.0), hot.deck, PoiClaClu, glmnet, methods, utils
Suggests: knitr, rmarkdown
Published: 2024-02-20
DOI: 10.32614/CRAN.package.RNAseqNet
Author: Alyssa Imbert [aut], Nathalie Vialaneix [aut, cre]
Maintainer: Nathalie Vialaneix <nathalie.vialaneix at inrae.fr>
License: GPL (≥ 3)
NeedsCompilation: no
Citation: RNAseqNet citation info
Materials: NEWS
In views: MissingData, Omics
CRAN checks: RNAseqNet results


Reference manual: RNAseqNet.pdf
Vignettes: Log-Linear Poisson Graphical Model with Hot-Deck Multiple Imputation


Package source: RNAseqNet_0.1.5.tar.gz
Windows binaries: r-devel: RNAseqNet_0.1.5.zip, r-release: RNAseqNet_0.1.5.zip, r-oldrel: RNAseqNet_0.1.5.zip
macOS binaries: r-release (arm64): RNAseqNet_0.1.5.tgz, r-oldrel (arm64): RNAseqNet_0.1.5.tgz, r-release (x86_64): RNAseqNet_0.1.5.tgz, r-oldrel (x86_64): RNAseqNet_0.1.5.tgz
Old sources: RNAseqNet archive


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