ctsGE: Clustering of Time Series Gene Expression data

Methodology for supervised clustering of potentially many predictor variables, such as genes etc., in time series datasets Provides functions that help the user assigning genes to predefined set of model profiles.

Install the latest version of this package by entering the following in R:
source("https://bioconductor.org/biocLite.R")
biocLite("ctsGE")
AuthorMichal Sharabi-Schwager [aut, cre], Ron Ophir [aut]
Bioconductor views Bayesian Clustering DifferentialExpression GeneExpression GeneSetEnrichment Genetics RNASeq Sequencing TimeCourse Transcription
Date of publicationNone
MaintainerMichal Sharabi-Schwager <michalsharabi@gmail.com>
LicenseGPL-2
Version1.0.0
https://github.com/michalsharabi/ctsGE

View on Bioconductor

Files

DESCRIPTION
NAMESPACE
R
R/ClustIndexes.R R/PlotIndexesClust.R R/PreparingTheIndexes.R R/ctsGE.R R/ctsGEShinyApp.R
README.md
build
build/vignette.rds
inst
inst/doc
inst/doc/ctsGE.R
inst/doc/ctsGE.Rmd
inst/doc/ctsGE.html
inst/extdata
inst/extdata/GSM37929.xls
inst/extdata/GSM37930.xls
inst/extdata/GSM37931.xls
inst/extdata/GSM37932.xls
inst/extdata/GSM37933.xls
inst/extdata/GSM37934.xls
man
man/ClustIndexes.Rd man/PlotIndexesClust.Rd man/PreparingTheIndexes.Rd man/ctsGEShinyApp.Rd man/index.Rd man/readTSGE.Rd
tests
tests/testthat
tests/testthat.R tests/testthat/test.ctsGE.R
vignettes
vignettes/ctsGE.Rmd

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