Package: SegCorr 1.2

Eleni Ioanna Delatola

SegCorr: Detecting Correlated Genomic Regions

Performs correlation matrix segmentation and applies a test procedure to detect highly correlated regions in gene expression.

Authors:Eleni Ioanna Delatola, Emilie Lebarbier, Tristan Mary-Huard, Francois Radvanyi, Stephane Robin, Jennifer Wong

SegCorr_1.2.tar.gz
SegCorr_1.2.zip(r-4.7-any)SegCorr_1.2.zip(r-4.6-any)
SegCorr_1.2.tar.gz(r-4.7-any)SegCorr_1.2.tar.gz(r-4.6-any)
SegCorr_1.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
SegCorr/json (API)

# Install 'SegCorr' in R:
install.packages('SegCorr', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))
Datasets:
  • EXP_raw - Simulated Gene Expression
  • SNP - Simulated SNP signal

On CRAN:

Conda:

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

1.30 score 1 stars 7 scripts 266 downloads 2 mentions 4 exports 4 dependencies

Last updated from:26d6def2ad. Checks:6 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK92
source / vignettesOK174
linux-releaseOK95
windows-develOK56
windows-releaseOK55
wasm-releaseOK80

Exports:CNV_correctionSegCorrsegmentationsegmented_signal

Dependencies:acnrDNAcopyjointsegmatrixStats