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

Description

The R package RNAseqNet can be used to infer networks from RNA-seq expression data. The count data are given as a $n \times p$ matrix in which $n$ is the number of individuals and $p$ the number of genes. This matrix is denoted by $\mathbf{X}$ in the sequel.

Eventually, the RNA-seq dataset is complemented with an $n' \times d$ matrix, $\mathbf{Y}$ which can be used to impute missing individuals in $\mathbf{X}$ as described in [Imbert et al., 2018].

The RNAseqNet User's Guide can be opened with:

RNAseqNetUsersGuide()

The location of the source file is given by:

RNAseqNetUsersGuide(html = FALSE)

Reference

Imbert, A., Valsesia, A., Le Gall, C., Armenise, C., Lefebvre, G., Gourraud, P.A., Viguerie, N. and Villa-Vialaneix, N. (2018) Multiple hot-deck imputation for network inference from RNA sequencing data. Bioinformatics. DOI: http://dx.doi.org/10.1093/bioinformatics/btx819.