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
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iDINGO.pdf |iDINGO.html✨
iDINGO/json (API)
NEWS

# Install 'iDINGO' in R:
install.packages('iDINGO', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Datasets:
  • brca - Modified TCGA Breast Cancer data
  • gbm - Modified TCGA Glioblastoma data

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

2.78 score 3 stars 7 scripts 186 downloads 4 mentions 11 exports 46 dependencies

Last updated 4 years agofrom:f080579709. Checks:OK: 2. Indexed: yes.

TargetResultDate
Doc / VignettesOKOct 14 2024
R-4.5-linuxOKOct 14 2024

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

Dependencies:base64encbslibcachemclicolorspacecpp11digestevaluatefarverfastmapfontawesomefsGGMridgeglassogluehighrhtmltoolshtmlwidgetsigraphjquerylibjsonliteknitrlabelinglatticelifecyclemagrittrMASSMatrixmemoisemimemunsellmvtnormpkgconfigR6rappdirsRColorBrewerrlangrmarkdownsassscalestinytexvctrsviridisLitevisNetworkxfunyaml