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.

Package details

AuthorMichal Sharabi-Schwager [aut, cre], Ron Ophir [aut]
Bioconductor views Bayesian Clustering DifferentialExpression GeneExpression GeneSetEnrichment Genetics ImmunoOncology RNASeq Sequencing TimeCourse Transcription
MaintainerMichal Sharabi-Schwager <michalsharabi@gmail.com>
LicenseGPL-2
Version1.16.0
URL https://github.com/michalsharabi/ctsGE
Package repositoryView on Bioconductor
Installation Install the latest version of this package by entering the following in R:
if (!requireNamespace("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("ctsGE")

Try the ctsGE package in your browser

Any scripts or data that you put into this service are public.

ctsGE documentation built on Nov. 8, 2020, 11:06 p.m.