ctsGE

DOI:10.18129/B9.bioc.ctsGE

This package is for version 3.10 of Bioconductor; for the stable, up-to-date release version, seectsGE.

Clustering of Time Series Gene Expression data

Bioconductor version: 3.10

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.

Author: Michal Sharabi-Schwager [aut, cre], Ron Ophir [aut]

Maintainer: Michal Sharabi-Schwager

Installation

To install this package, start R (version "3.6") and enter:

if (!requireNamespace("BiocManager", quietly = TRUE)) install.packages("BiocManager") BiocManager::install("ctsGE")

For older versions of R, please refer to the appropriateBioconductor release.

Documentation

查看文档的版本包age installed in your system, start R and enter:

browseVignettes("ctsGE")

HTML	R Script	ctsGE Package
PDF		Reference Manual

Details

biocViews	Bayesian,Clustering,DifferentialExpression,GeneExpression,GeneSetEnrichment,Genetics,ImmunoOncology,RNASeq,Sequencing,Software,TimeCourse,Transcription
Version	1.12.0
In Bioconductor since	BioC 3.4 (R-3.3) (3.5 years)
License	GPL-2
Depends	R (>= 3.2)
Imports	ccaPP,ggplot2,limma,reshape2,shiny, stats,stringr, utils
LinkingTo
Suggests	BiocStyle,dplyr,DT,GEOquery,knitr,pander,rmarkdown,testthat
SystemRequirements
Enhances
URL	https://github.com/michalsharabi/ctsGE
BugReports	https://github.com/michalsharabi/ctsGE/issues
Depends On Me
Imports Me
Suggests Me
Links To Me
Build Report

Package Archives

Follow2021年欧洲杯比分预测 instructions to use this package in your R session.

Source Package	ctsGE_1.12.0.tar.gz
Windows Binary	ctsGE_1.12.0.zip
Mac OS X 10.11 (El Capitan)	ctsGE_1.12.0.tgz
Source Repository	git clone https://git.bioconductor.org/packages/ctsGE
Source Repository (Developer Access)	git clone git@git.bioconductor.org:packages/ctsGE
Package Short Url	//www.andersvercelli.com/packages/ctsGE/
Package Downloads Report	Download Stats