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 |
Documentation:
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