OLIN
This is the released version of OLIN; for the devel version, see OLIN.
Optimized local intensity-dependent normalisation of two-color microarrays
Bioconductor version: Release (3.20)
Functions for normalisation of two-color microarrays by optimised local regression and for detection of artefacts in microarray data
Author: Matthias Futschik <mfutschik at ualg.pt>
Maintainer: Matthias Futschik <mfutschik at ualg.pt>
Citation (from within R, enter
citation("OLIN")
):
Installation
To install this package, start R (version "4.4") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("OLIN")
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("OLIN")
Introduction to OLIN | R Script | |
Reference Manual |
Details
biocViews | Microarray, Preprocessing, QualityControl, Software, TwoChannel, Visualization |
Version | 1.84.0 |
In Bioconductor since | BioC 1.6 (R-2.1) or earlier (> 19.5 years) |
License | GPL-2 |
Depends | R (>= 2.10), methods, locfit, marray |
Imports | graphics, grDevices, limma, marray, methods, stats |
System Requirements | |
URL | http://olin.sysbiolab.eu |
See More
Suggests | convert |
Linking To | |
Enhances | |
Depends On Me | OLINgui |
Imports Me | OLINgui |
Suggests Me | |
Links To Me | |
Build Report | Build Report |
Package Archives
Follow Installation instructions to use this package in your R session.
Source Package | OLIN_1.84.0.tar.gz |
Windows Binary (x86_64) | OLIN_1.84.0.zip |
macOS Binary (x86_64) | OLIN_1.84.0.tgz |
macOS Binary (arm64) | OLIN_1.84.0.tgz |
Source Repository | git clone https://git.bioconductor.org/packages/OLIN |
Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/OLIN |
Bioc Package Browser | https://code.bioconductor.org/browse/OLIN/ |
Package Short Url | https://bioconductor.org/packages/OLIN/ |
Package Downloads Report | Download Stats |