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 × p matrix in which n is the number of individuals and p the number of genes. This matrix is denoted by X in the sequel.

Eventually, the RNA-seq dataset is complemented with an n′ × d matrix, Y which can be used to impute missing individuals in 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.

Session information for the vignette

sessionInfo()
## R version 4.4.2 (2024-10-31)
## Platform: x86_64-pc-linux-gnu
## Running under: Ubuntu 24.04.1 LTS
## 
## Matrix products: default
## BLAS:   /usr/lib/x86_64-linux-gnu/openblas-pthread/libblas.so.3 
## LAPACK: /usr/lib/x86_64-linux-gnu/openblas-pthread/libopenblasp-r0.3.26.so;  LAPACK version 3.12.0
## 
## locale:
##  [1] LC_CTYPE=en_US.UTF-8       LC_NUMERIC=C              
##  [3] LC_TIME=en_US.UTF-8        LC_COLLATE=C              
##  [5] LC_MONETARY=en_US.UTF-8    LC_MESSAGES=en_US.UTF-8   
##  [7] LC_PAPER=en_US.UTF-8       LC_NAME=C                 
##  [9] LC_ADDRESS=C               LC_TELEPHONE=C            
## [11] LC_MEASUREMENT=en_US.UTF-8 LC_IDENTIFICATION=C       
## 
## time zone: Etc/UTC
## tzcode source: system (glibc)
## 
## attached base packages:
## [1] stats     graphics  grDevices utils     datasets  methods   base     
## 
## loaded via a namespace (and not attached):
##  [1] digest_0.6.37     R6_2.5.1          fastmap_1.2.0     xfun_0.49        
##  [5] maketools_1.3.1   cachem_1.1.0      knitr_1.49        htmltools_0.5.8.1
##  [9] rmarkdown_2.29    buildtools_1.0.0  lifecycle_1.0.4   cli_3.6.3        
## [13] sass_0.4.9        jquerylib_0.1.4   compiler_4.4.2    sys_3.4.3        
## [17] tools_4.4.2       evaluate_1.0.1    bslib_0.8.0       yaml_2.3.10      
## [21] jsonlite_1.8.9    rlang_1.1.4