To install this package, start R and enter:

source("http://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: Release (2.14)

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

Author: Matthias Futschik <mfutschik at ualg.pt>

Maintainer: Matthias Futschik <mfutschik at ualg.pt>

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

Installation

To install this package, start R and enter:

source("http://bioconductor.org/biocLite.R")
biocLite("Mfuzz")

Documentation

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

Details

biocViews Clustering, Microarray, Preprocessing, Software, TimeCourse, Visualization
Version 2.22.0
In Bioconductor since BioC 1.8 (R-2.3)
License GPL-2
Depends R (>= 2.5.0), Biobase(>= 2.5.5), e1071
Imports tcltk, tkWidgets
Suggests marray
System Requirements
URL http://itb.biologie.hu-berlin.de/~futschik/software/R/Mfuzz/
Depends On Me cycle
Imports Me maSigPro
Suggests Me

Package Archives

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

Package Source Mfuzz_2.22.0.tar.gz
Windows Binary Mfuzz_2.22.0.zip (32- & 64-bit)
Mac OS X 10.6 (Snow Leopard) Mfuzz_2.22.0.tgz
Mac OS X 10.9 (Mavericks) Mfuzz_2.22.0.tgz
Browse/checkout source (username/password: readonly)
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