To install this package, start R and enter:

source("http://bioconductor.org/biocLite.R")
biocLite("timecourse")

In most cases, you don't need to download the package archive at all.

timecourse

 

Statistical Analysis for Developmental Microarray Time Course Data

Bioconductor version: Release (3.1)

Functions for data analysis and graphical displays for developmental microarray time course data.

Author: Yu Chuan Tai

Maintainer: Yu Chuan Tai <yuchuan at stat.berkeley.edu>

Citation (from within R, enter citation("timecourse")):

Installation

To install this package, start R and enter:

source("http://bioconductor.org/biocLite.R")
biocLite("timecourse")

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("timecourse")

 

PDF R Script timecourse manual
PDF   Reference Manual

Details

biocViews DifferentialExpression, Microarray, Software, TimeCourse
Version 1.40.0
In Bioconductor since BioC 1.7 (R-2.2) (9.5 years)
License LGPL
Depends R (>= 2.1.1), MASS, methods
Imports Biobase, graphics, limma(>= 1.8.6), MASS, marray, methods, stats
LinkingTo
Suggests
SystemRequirements
Enhances
URL http://www.bioconductor.org
Depends On Me
Imports Me
Suggests Me
Build Report  

Package Archives

Follow Installation instructions to use this package in your R session.

Package Source timecourse_1.40.0.tar.gz
Windows Binary timecourse_1.40.0.zip
Mac OS X 10.6 (Snow Leopard) timecourse_1.40.0.tgz
Mac OS X 10.9 (Mavericks) timecourse_1.40.0.tgz
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