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RNAseqNet (version 0.1.5)

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

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 .

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Install

install.packages('RNAseqNet')

Monthly Downloads

204

Version

0.1.5

License

GPL (>= 3)

Maintainer

Nathalie Vialaneix

Last Published

February 20th, 2024

Functions in RNAseqNet (0.1.5)

imputeHD

Impute missing row datasets with multiple hot deck.
GLMnetwork

Infer a network from RNA-seq expression.
HDImputed

Methods for 'HDImputed' objects.
chooseSigma

Select the threshold sigma for hd-MI.
imputedGLMnetwork

Multiple hot-deck imputation and network inference from RNA-seq data.
lung

RNA-seq expression from lung tissue (GTEx).
GLMnetToGraph

Convert the result of imputedGLMnetwork or a matrix into a network.
RNAseqNetUsersGuide

View RNAseqNet User's Guide
GLMpath

Methods for 'GLMpath' objects.
HDpath

Methods for 'HDpath' objects.
thyroid

RNA-seq expression from thyroid tissue (GTEx).
varIntra

Average intra-donor pool variance.
stabilitySelection

Selection of the regularization parameter by StARS (Liu et al., 2010).
stars

Methods for 'stars' objects.