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Soft clustering of time series gene expression data

Bioconductor version: Release (3.19)

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

Author: Matthias Futschik <matthias.futschik at>

Maintainer: Matthias Futschik <matthias.futschik at>

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


To install this package, start R (version "4.4") 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 2.64.0
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
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Suggests marray
Linking To
Depends On Me cycle, MultiRNAflow
Imports Me Patterns, TOmicsVis
Suggests Me DAPAR, pwOmics, pctax
Links To Me
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Follow Installation instructions to use this package in your R session.

Source Package Mfuzz_2.64.0.tar.gz
Windows Binary
macOS Binary (x86_64) Mfuzz_2.64.0.tgz
macOS Binary (arm64) Mfuzz_2.64.0.tgz
Source Repository git clone
Source Repository (Developer Access) git clone
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