To install this package, start R and enter:

## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("Mfuzz")

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

Mfuzz

This package is for version 3.4 of Bioconductor; for the stable, up-to-date release version, see Mfuzz.

Soft clustering of time series gene expression data

Bioconductor version: 3.4

Package for noise-robust soft clustering of gene expression time-series data (including a graphical user interface)

Author: Matthias Futschik <matthias.futschik at sysbiolab.eu>

Maintainer: Matthias Futschik <matthias.futschik at sysbiolab.eu>

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

To install this package, start R and enter:

## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("Mfuzz")

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

browseVignettes("Mfuzz")

PDF	R Script	Introduction to Mfuzz
PDF		Reference Manual

biocViews	Clustering, Microarray, Preprocessing, Software, TimeCourse, Visualization
Version	2.34.0
In Bioconductor since	BioC 1.8 (R-2.3) (11 years)
License	GPL-2
Depends	R (>= 2.5.0), Biobase(>= 2.5.5), e1071
Imports	tcltk, tkWidgets
LinkingTo
Suggests	marray
SystemRequirements
Enhances
URL	http://mfuzz.sysbiolab.eu/
Depends On Me	cycle
Imports Me
Suggests Me	pwOmics
Build Report

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

Package Source	Mfuzz_2.34.0.tar.gz
Windows Binary	Mfuzz_2.34.0.zip
Mac OS X 10.9 (Mavericks)	Mfuzz_2.34.0.tgz
Subversion source	(username/password: readonly)
Git source	https://github.com/Bioconductor-mirror/Mfuzz/tree/release-3.4
Package Short Url	http://bioconductor.org/packages/Mfuzz/
Package Downloads Report	Download Stats

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