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- affyILM
To install this package, start R and enter:
source("http://bioconductor.org/biocLite.R")
biocLite("affyILM")
In most cases, you don't need to download the package archive at all.
affyILM
Linear Model of background subtraction and the Langmuir isotherm
Bioconductor version: 2.14
affyILM is a preprocessing tool which estimates gene expression levels for Affymetrix Gene Chips. Input from physical chemistry is employed to first background subtract intensities before calculating concentrations on behalf of the Langmuir model.
Author: K. Myriam Kroll, Fabrice Berger, Gerard Barkema, Enrico Carlon
Maintainer: Myriam Kroll and Fabrice Berger <fabrice.berger at gmail.com>
Citation (from within R,
enter citation("affyILM")):
Installation
To install this package, start R and enter:
source("http://bioconductor.org/biocLite.R")
biocLite("affyILM")
Documentation
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("affyILM")
| R Script | affyILM1.3.0 | |
| Reference Manual |
Details
| biocViews | Microarray, OneChannel, Preprocessing, Software |
| Version | 1.16.0 |
| In Bioconductor since | BioC 2.6 (R-2.11) |
| License | GPL version 3 |
| Depends | R (>= 2.10.0), methods, gcrma |
| Imports | affxparser(>= 1.16.0), affy, graphics, methods, Biobase |
| Suggests | AffymetrixDataTestFiles |
| System Requirements | |
| URL | |
| Depends On Me | |
| Imports Me | |
| Suggests Me |
Package Archives
Follow Installation instructions to use this package in your R session.
| Package Source | affyILM_1.16.0.tar.gz |
| Windows Binary | affyILM_1.16.0.zip (32- & 64-bit) |
| Mac OS X 10.6 (Snow Leopard) | affyILM_1.16.0.tgz |
| Mac OS X 10.9 (Mavericks) | affyILM_1.16.0.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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