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Soft clustering of time series gene expression data

Bioconductor version: Release (3.18)

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 (version "4.3") and enter:

if (!require("BiocManager", quietly = TRUE))


For older versions of R, please refer to the appropriate Bioconductor release.


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

Introduction to Mfuzz PDF R Script
Reference Manual PDF


biocViews Clustering, Microarray, Preprocessing, Software, TimeCourse, Visualization
Version 2.62.0
In Bioconductor since BioC 1.8 (R-2.3) (18 years)
License GPL-2
Depends R (>= 2.5.0), Biobase(>= 2.5.5), e1071
Imports tcltk, tkWidgets
System Requirements
URL http://mfuzz.sysbiolab.eu/
See More
Suggests marray
Linking To
Depends On Me cycle, MultiRNAflow, TimiRGeN
Imports Me DAPAR
Suggests Me pwOmics
Links To Me
Build Report Build Report

Package Archives

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

Source Package Mfuzz_2.62.0.tar.gz
Windows Binary Mfuzz_2.62.0.zip
macOS Binary (x86_64) Mfuzz_2.62.0.tgz
macOS Binary (arm64) Mfuzz_2.62.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/Mfuzz
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/Mfuzz
Bioc Package Browser https://code.bioconductor.org/browse/Mfuzz/
Package Short Url https://bioconductor.org/packages/Mfuzz/
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