The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.
A package for selecting the most relevant features (genes) in the high-dimensional binary classification problems. The discriminative features are identified using analyzing the overlap between the expression values across both classes. The package includes functions for measuring the proportional overlapping score for each gene avoiding the outliers effect. The used measure for the overlap is the one defined in the "Proportional Overlapping Score (POS)" technique for feature selection. A gene mask which represents a gene's classification power can also be produced for each gene (feature). The set size of the selected genes might be set by the user. The minimum set of genes that correctly classify the maximum number of the given tissue samples (observations) can be also produced.
Version: | 1.0 |
Depends: | R (≥ 2.10), Biobase |
Published: | 2014-09-15 |
DOI: | 10.32614/CRAN.package.propOverlap |
Author: | Osama Mahmoud, Andrew Harrison, Aris Perperoglou, Asma Gul, Zardad Khan, Berthold Lausen |
Maintainer: | Osama Mahmoud <ofamah at essex.ac.uk> |
License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
NeedsCompilation: | no |
CRAN checks: | propOverlap results |
Reference manual: | propOverlap.pdf |
Package source: | propOverlap_1.0.tar.gz |
Windows binaries: | r-devel: propOverlap_1.0.zip, r-release: propOverlap_1.0.zip, r-oldrel: propOverlap_1.0.zip |
macOS binaries: | r-release (arm64): propOverlap_1.0.tgz, r-oldrel (arm64): propOverlap_1.0.tgz, r-release (x86_64): propOverlap_1.0.tgz, r-oldrel (x86_64): propOverlap_1.0.tgz |
Please use the canonical form https://CRAN.R-project.org/package=propOverlap to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.