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timecourse
Statistical Analysis for Developmental Microarray Time Course Data
Bioconductor version: 2.7
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>
To install this package, start R and enter:
source("http://bioconductor.org/biocLite.R")
biocLite("timecourse")
To cite this package in a publication, start R and enter:
citation("timecourse")
Documentation
| R Script | timecourse manual | |
| Reference Manual |
Details
| biocViews | Microarray, TimeCourse, DifferentialExpression |
| Depends | R (>= 2.1.1), MASS, methods |
| Imports | Biobase, graphics, limma(>= 1.8.6), MASS, marray, methods, stats |
| Suggests | |
| System Requirements | |
| License | LGPL |
| URL | http://www.bioconductor.org |
| Depends On Me | |
| Imports Me | |
| Suggests Me | |
| Version | 1.22.0 |
| Since | Bioconductor 1.7 (R-2.2) |
Package Downloads
| Package Source | timecourse_1.22.0.tar.gz |
| Windows Binary | timecourse_1.22.0.zip (32- & 64-bit) |
| MacOS 10.5 (Leopard) binary | timecourse_1.22.0.tgz |
| Package Downloads Report | Download Stats |
Common Bioconductor workflows include:
- Oligonucleotide Arrays
- High-throughput Sequencing
- Annotation
- Variants
- Flow Cytometry and other assays
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