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- maSigPro
To install this package, start R and enter:
source("http://bioconductor.org/biocLite.R")
biocLite("maSigPro")
In most cases, you don't need to download the package archive at all.
maSigPro
Significant Gene Expression Profile Differences in Time Course Microarray Data
Bioconductor version: 2.14
maSigPro is a regression based approach to find genes for which there are significant gene expression profile differences between experimental groups in time course microarray experiments.
Author: Ana Conesa <aconesa at cipf.es>, Maria Jose Nueda <mj.nueda at ua.es>
Maintainer: Maria Jose Nueda <mj.nueda at ua.es>
Citation (from within R,
enter citation("maSigPro")):
Installation
To install this package, start R and enter:
source("http://bioconductor.org/biocLite.R")
biocLite("maSigPro")
Documentation
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("maSigPro")
| R Script | maSigPro Vignette | |
| maSigProUsersGuide.pdf | ||
| Reference Manual |
Details
| biocViews | DifferentialExpression, Microarray, Software, TimeCourse |
| Version | 1.36.0 |
| In Bioconductor since | BioC 1.7 (R-2.2) |
| License | GPL (>= 2) |
| Depends | R (>= 2.3.1), stats, Biobase, MASS |
| Imports | Biobase, graphics, grDevices, limma, Mfuzz, stats, utils, MASS |
| Suggests | |
| System Requirements | |
| URL | http://bioinfo.cipf.es/ |
| Depends On Me | |
| Imports Me | |
| Suggests Me | oneChannelGUI |
Package Archives
Follow Installation instructions to use this package in your R session.
| Package Source | maSigPro_1.36.0.tar.gz |
| Windows Binary | maSigPro_1.36.0.zip (32- & 64-bit) |
| Mac OS X 10.6 (Snow Leopard) | maSigPro_1.36.0.tgz |
| Mac OS X 10.9 (Mavericks) | maSigPro_1.36.0.tgz |
| Browse/checkout source | (username/password: readonly) |
| Package Downloads Report | Download Stats |
Common Bioconductor workflows include:
- Oligonucleotide Arrays
- High-throughput Sequencing
- Counting Reads for Differential Expression (parathyroideSE vignette)
- Annotation
- Annotating Variants
- Annotating Ranges
- Flow Cytometry and other assays
- Candidate Binding Sites for Known Transcription Factors
- Cloud-enabled cis-eQTL search and annotation
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