To install this package, start R and enter:

## try http if https is not available
source("https://bioconductor.org/biocLite.R")
biocLite("DFP")

In most cases, you don't need to download the package archive at all.

DFP

 

Gene Selection

Bioconductor version: Release (3.1)

This package provides a supervised technique able to identify differentially expressed genes, based on the construction of \emph{Fuzzy Patterns} (FPs). The Fuzzy Patterns are built by means of applying 3 Membership Functions to discretized gene expression values.

Author: R. Alvarez-Gonzalez, D. Glez-Pena, F. Diaz, F. Fdez-Riverola

Maintainer: Rodrigo Alvarez-Glez <rodrigo.djv at uvigo.es>

Citation (from within R, enter citation("DFP")):

Installation

To install this package, start R and enter:

## try http if https is not available
source("https://bioconductor.org/biocLite.R")
biocLite("DFP")

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("DFP")

 

PDF R Script Howto: Discriminat Fuzzy Pattern
PDF   Reference Manual

Details

biocViews DifferentialExpression, Microarray, Software
Version 1.26.0
In Bioconductor since BioC 2.3 (R-2.8) (7 years)
License GPL-2
Depends methods, Biobase(>= 2.5.5)
Imports
LinkingTo
Suggests
SystemRequirements
Enhances
URL
Depends On Me
Imports Me
Suggests Me
Build Report  

Package Archives

Follow Installation instructions to use this package in your R session.

Package Source DFP_1.26.0.tar.gz
Windows Binary DFP_1.26.0.zip
Mac OS X 10.6 (Snow Leopard) DFP_1.26.0.tgz
Mac OS X 10.9 (Mavericks) DFP_1.26.0.tgz
Subversion source (username/password: readonly)
Git source https://github.com/Bioconductor-mirror/DFP/tree/release-3.1
Package Short Url http://bioconductor.org/packages/DFP/
Package Downloads Report Download Stats

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