CALIB
Calibration model for estimating absolute expression levels from microarray data
Bioconductor version: 2.9
This package contains functions for normalizing spotted microarray data, based on a physically motivated calibration model. The model parameters and error distributions are estimated from external control spikes.
Author: Hui Zhao, Kristof Engelen, Bart De Moor and Kathleen Marchal
Maintainer: Hui Zhao <hui.zhao at biw.kuleuven.be>
To install this package, start R and enter:
source("http://bioconductor.org/biocLite.R")
biocLite("CALIB")
To cite this package in a publication, start R and enter:
citation("CALIB")
Documentation
| R Script | CALIB Overview | |
| readme.pdf | ||
| Reference Manual |
Details
| biocViews | Microarray, TwoChannel, Preprocessing |
| Depends | R (>= 2.6.0), limma, methods |
| Imports | limma, methods, graphics, stats, utils |
| Suggests | |
| System Requirements | |
| License | LGPL |
| URL | |
| Depends On Me | |
| Imports Me | |
| Suggests Me | |
| Version | 1.20.0 |
| Since | Bioconductor 2.0 (R-2.5) |
Package Downloads
| Package Source | CALIB_1.20.0.tar.gz |
| Windows Binary | CALIB_1.20.0.zip (32- & 64-bit) |
| MacOS 10.5 (Leopard) binary | CALIB_1.20.0.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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