GESTr: Gene Expression State Transformation
Version 0.1

The Gene Expression State Transformation (GESTr) models the states of expression of genes across a compendium of samples in order to provide a universal scale of gene expression for all genes. TranSAM is a modification of the SAM approach designed to utilise GESTr-transformed gene expression data.

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AuthorEd Curry
Date of publication2013-03-07 13:16:24
MaintainerEd Curry <e.curry@imperial.ac.uk>
LicenseGPL (>= 2)
Version0.1
URL http://www.r-project.org http://www1.imperial.ac.uk/medicine/people/e.curry/
Package repositoryView on CRAN
InstallationInstall the latest version of this package by entering the following in R:
install.packages("GESTr")

Man pages

ABIdata: Gene Expression Data Matrix
findReplicateGroups: Find Groups of Replicate Samples Within Dataset
fitGMM: Fitting Gaussian Mixture Models
fitRockeDurbin: Fit Rocke-Durbin Error Model
GESTr: Gene Expression State Transformation
getMonotonicConfidences: Ensure monotonicity of two-class gene expression state...
getMonotonicConfidences_multiclass: Ensure monotonicity of multi-class gene expression state...
mergeComponents: Merge GMM Components with Highly Overlapping Support
TranSAM: Gene Expression State Transformed Significance Analysis of...

Functions

ABIdata Man page
GESTr Man page Source code
TranSAM Man page Source code
findReplicateGroups Man page Source code
fitGMM Man page Source code
fitRockeDurbin Man page Source code
getMonotonicConfidences Man page Source code
getMonotonicConfidences_multiclass Man page Source code
mergeComponents Man page Source code

Files

MD5
man
man/getMonotonicConfidences_multiclass.Rd
man/mergeComponents.Rd
man/GESTr.Rd
man/findReplicateGroups.Rd
man/ABIdata.Rd
man/fitRockeDurbin.Rd
man/getMonotonicConfidences.Rd
man/fitGMM.Rd
man/TranSAM.Rd
INDEX
R
R/mergeComponents.R
R/getMonotonicConfidences.R
R/fitGMM.R
R/findReplicateGroups.R
R/GESTr.R
R/TranSAM.R
R/fitRockeDurbin.R
R/getMonotonicConfidences_multiclass.R
data
data/GESTr.rda
DESCRIPTION
NAMESPACE
GESTr documentation built on May 19, 2017, 11:03 p.m.