Statistical Analysis for Developmental Microarray Time Course Data

Bioconductor version: Release (3.19)

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")):


To install this package, start R (version "4.4") and enter:

if (!require("BiocManager", quietly = TRUE))


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


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

timecourse manual PDF R Script
Reference Manual PDF


biocViews DifferentialExpression, Microarray, Software, TimeCourse
Version 1.76.0
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
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URL http://www.bioconductor.org
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Follow Installation instructions to use this package in your R session.

Source Package timecourse_1.76.0.tar.gz
Windows Binary timecourse_1.76.0.zip
macOS Binary (x86_64) timecourse_1.76.0.tgz
macOS Binary (arm64) timecourse_1.76.0.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/
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