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.tar.gz(r-4.5-noble)SegCorr_1.2.tar.gz(r-4.4-noble)
SegCorr_1.2.tgz(r-4.4-emscripten)SegCorr_1.2.tgz(r-4.3-emscripten)
SegCorr.pdf |SegCorr.html
SegCorr/json (API)

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

Peer review:

Datasets:
  • EXP_raw - Simulated Gene Expression
  • SNP - Simulated SNP signal

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 135 downloads 2 mentions 4 exports 4 dependencies

Last updated 7 years agofrom:26d6def2ad. Checks:OK: 2. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 19 2024
R-4.5-linuxOKNov 19 2024

Exports:CNV_correctionSegCorrsegmentationsegmented_signal

Dependencies:acnrDNAcopyjointsegmatrixStats