timecourse
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")):
Installation
To install this package, start R (version "4.4") 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 | R Script | |
| Reference Manual |
Details
| biocViews | DifferentialExpression, Microarray, Software, TimeCourse |
| Version | 1.76.0 |
| In Bioconductor since | BioC 1.7 (R-2.2) (19 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 |
See More
| Suggests | |
| Linking To | |
| Enhances | |
| Depends On Me | |
| Imports Me | |
| Suggests Me | |
| Links To Me | |
| Build Report | Build Report |
Package Archives
Follow Installation instructions to use this package in your R session.
| Source Package | timecourse_1.76.0.tar.gz |
| Windows Binary (x86_64) | 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/ |
| Package Downloads Report | Download Stats |