Abstract
Short vignette pointing to RNAseqNet User’s Guide.
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)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.
sessionInfo()## R version 4.3.2 (2023-10-31)
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