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timecourse

Statistical Analysis for Developmental Microarray Time Course Data


Bioconductor version: Release (3.18)

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 (version "4.3") 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")
timecourse manual PDF R Script
Reference Manual PDF

Details

biocViews DifferentialExpression, Microarray, Software, TimeCourse
Version 1.74.0
In Bioconductor since BioC 1.7 (R-2.2) (18.5 years)
License LGPL
Depends R (>= 2.1.1), MASS, methods
Imports Biobase, graphics, limma(>= 1.8.6), MASS, marray, methods, stats
System Requirements
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_1.74.0.tar.gz
Windows Binary timecourse_1.74.0.zip (64-bit only)
macOS Binary (x86_64) timecourse_1.74.0.tgz
macOS Binary (arm64) timecourse_1.74.0.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