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

Soft clustering of time series gene expression data

Bioconductor version: 3.2

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		Introduction to Mfuzz
PDF		Reference Manual

biocViews	Clustering, Microarray, Preprocessing, Software, TimeCourse, Visualization
Version	2.30.0
In Bioconductor since	BioC 1.8 (R-2.3) (10 years)
License	GPL-2
Depends	R (>= 2.5.0), Biobase(>= 2.5.5), e1071
Imports	tcltk, tkWidgets
LinkingTo
Suggests	marray
SystemRequirements
Enhances
URL	http://www.sysbiolab.eu/software/R/Mfuzz/index.html
Depends On Me	cycle
Imports Me	maSigPro
Suggests Me	pwOmics
Build Report

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

Package Source	Mfuzz_2.30.0.tar.gz
Windows Binary	Mfuzz_2.30.0.zip
Mac OS X 10.6 (Snow Leopard)	Mfuzz_2.30.0.tgz
Mac OS X 10.9 (Mavericks)	Mfuzz_2.30.0.tgz
Subversion source	(username/password: readonly)
Git source	https://github.com/Bioconductor-mirror/Mfuzz/tree/release-3.2
Package Short Url	http://bioconductor.org/packages/Mfuzz/
Package Downloads Report	Download Stats

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