SegCorr: Detecting Correlated Genomic Regions
Version 1.1

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

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AuthorEleni Ioanna Delatola, Emilie Lebarbier, Tristan Mary-Huard, Francois Radvanyi, Stephane Robin, Jennifer Wong
Date of publication2015-11-04 17:33:45
MaintainerEleni Ioanna Delatola <eldelatola@yahoo.gr>
LicenseGPL-2
Version1.1
Package repositoryView on CRAN
InstallationInstall the latest version of this package by entering the following in R:
install.packages("SegCorr")

Man pages

CNV_correction: Corrects Gene Expression for CNV
EXP_raw: Simulated Gene Expression
SegCorr: Performs CNV Correction and Correlation Matrix Segmentation
SegCorr-package: Detecting Correlated Genomic Regions
segmentation: Correlation Matrix Segmentation
segmented_signal: Mean Segmentation
SNP: Simulated SNP signal

Functions

CNV_correction Man page Source code
DynProg Source code
EXP_raw Man page
F_SegKern_Norm Source code
SNP Man page
SNP.interpolated Source code
SegCorr Man page Source code
SegCorr-package Man page
aligning.positions Source code
corrected.EXP Source code
segmentation Man page Source code
segmented_signal Man page Source code
selection1 Source code

Files

NAMESPACE
data
data/EXP_raw.txt
data/SNP.txt
R
R/SegCorr.R
R/CNV_correction.R
R/segmentation.R
R/segmented_signal.R
MD5
DESCRIPTION
man
man/segmentation.Rd
man/EXP_raw.Rd
man/segmented_signal.Rd
man/SegCorr-package.Rd
man/SNP.Rd
man/SegCorr.Rd
man/CNV_correction.Rd
SegCorr documentation built on May 19, 2017, 1:31 p.m.