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RNAseqNet
View on CRAN: Click
here
Download and install RNAseqNet package within the R console
Install from CRAN:
install.packages("RNAseqNet")
Install from Github:
library("remotes")
install_github("cran/RNAseqNet")
Install by package version:
library("remotes")
install_version("RNAseqNet", "0.1.5")
Attach the package and use:
library("RNAseqNet")
Maintained by
Nathalie Vialaneix
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2017-04-19
Latest Update: 2020-06-08
Description:
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
.
How to cite:
Nathalie Vialaneix (2017). RNAseqNet: Log-Linear Poisson Graphical Model with Hot-Deck Multiple Imputation. R package version 0.1.5, https://cran.r-project.org/web/packages/RNAseqNet. Accessed 21 Dec. 2024.
Previous versions and publish date:
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Other R packages that RNAseqNet depends,
imports, suggests or enhances
Complete documentation for RNAseqNet
Functions, R codes and Examples using
the RNAseqNet R package
Some associated functions: GLMnetToGraph . GLMnetwork . GLMpath . HDImputed . HDpath . RNAseqNetUsersGuide . chooseSigma . imputeHD . imputedGLMnetwork . lung . stabilitySelection . stars . thyroid . varIntra .
Some associated R codes: data.R . donors.R . main.R . poisson_net.R . user_guide.R . Full RNAseqNet package functions and examples
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