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 is the development version of Mfuzz; for the stable release version, see Mfuzz.

Soft clustering of time series gene expression data

Bioconductor version: Development (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")):

Installation

To install this package, start R and enter:

## try http:// if https:// URLs are not supported
source("https://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 2.33.0
In Bioconductor since BioC 1.8 (R-2.3) (10.5 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  

Package Archives

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

Package Source Mfuzz_2.33.0.tar.gz
Windows Binary Mfuzz_2.33.0.zip
Mac OS X 10.9 (Mavericks) Mfuzz_2.33.0.tgz
Subversion source (username/password: readonly)
Git source https://github.com/Bioconductor-mirror/Mfuzz
Package Short Url http://bioconductor.org/packages/Mfuzz/
Package Downloads Report Download Stats

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