timecourse

DOI: 10.18129/B9.bioc.timecourse  

Statistical Analysis for Developmental Microarray Time Course Data

Bioconductor version: Release (3.16)

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>

Installation

To install this package, start R (version "4.2") and enter:

if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("timecourse")

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

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	1.70.0
In Bioconductor since	BioC 1.7 (R-2.2) (17.5 years)
License	LGPL
Depends	R (>= 2.1.1), MASS, methods
Imports	Biobase, graphics, limma(>= 1.8.6), MASS, marray, methods, stats
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URL	http://www.bioconductor.org
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Package Archives

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

Source Package	timecourse_1.70.0.tar.gz
Windows Binary	timecourse_1.70.0.zip (64-bit only)
macOS Binary (x86_64)	timecourse_1.70.0.tgz
macOS Binary (arm64)	timecourse_1.70.0.tgz
Source Repository	git clone https://git.bioconductor.org/packages/timecourse
Source Repository (Developer Access)	git clone git@git.bioconductor.org:packages/timecourse
Bioc Package Browser	https://code.bioconductor.org/browse/timecourse/
Package Short Url	https://bioconductor.org/packages/timecourse/
Package Downloads Report	Download Stats