Package: iDINGO 1.0.4

Caleb A. Class

iDINGO: Integrative Differential Network Analysis in Genomics

Fits covariate dependent partial correlation matrices for integrative models to identify differential networks between two groups. The methods are described in Class et. al., (2018) <doi:10.1093/bioinformatics/btx750> and Ha et. al., (2015) <doi:10.1093/bioinformatics/btv406>.

Authors:Caleb A. Class <[email protected]>, Min Jin Ha <[email protected]>

iDINGO_1.0.4.tar.gz
iDINGO_1.0.4.zip(r-4.7-any)iDINGO_1.0.4.zip(r-4.6-any)
iDINGO_1.0.4.tar.gz(r-4.7-any)iDINGO_1.0.4.tar.gz(r-4.6-any)
iDINGO_1.0.4.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
iDINGO/json (API)

# Install 'iDINGO' in R:
install.packages('iDINGO', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))
Datasets:
  • brca - Modified TCGA Breast Cancer data
  • gbm - Modified TCGA Glioblastoma data

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

3.08 score 3 stars 20 scripts 343 downloads 4 mentions 11 exports 44 dependencies

Last updated from:f080579709. Checks:6 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK180
source / vignettesOK195
linux-releaseOK144
windows-develOK68
windows-releaseOK73
wasm-releaseOK119

Exports:dingoextendedBICGreg.emidingoplotNetworkscaledMatscoring.bootscoring.boot.parallelSigmaxsingle.boottrans.Fisher

Dependencies:base64encbslibcachemclicpp11digestevaluatefarverfastmapfontawesomefsGGMridgeglassogluehighrhtmltoolshtmlwidgetsigraphjquerylibjsonliteknitrlabelinglatticelifecyclemagrittrMASSMatrixmemoisemimemvtnormpkgconfigR6rappdirsRColorBrewerrlangrmarkdownsassscalestinytexvctrsviridisLitevisNetworkxfunyaml