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Mfuzz

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

All versions 3.24 (devel), 3.23 (release), 3.22, 3.21, 3.20, 3.19, 3.18, 3.17, 3.16, 3.15, 3.14, 3.13, 3.12, 3.11, 3.10, 3.9, 3.8, 3.7, 3.6, 3.5, 3.4, 3.3, 3.2, 3.1, 3.0, 2.14, 2.13, 2.12, 2.11, 2.10, 2.9, 2.8, 2.7, 2.6, 2.5

Soft clustering of omics time series data


Bioconductor version: Development (3.24)

The Mfuzz package implements noise-robust soft clustering of omics time-series data, including transcriptomic, proteomic or metabolomic data. It is based on the use of c-means clustering. For convenience, it includes 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")):

Matthias Futschik. Mfuzz: Soft clustering of omics time series data. doi:10.18129/B9.bioc.Mfuzz, R package version 2.73.0, https://bioconductor.org/packages/Mfuzz.

Generated from the package metadata; it may differ from the package's own citation.

Installation

To install this package, start R (version "4.6") and enter:

if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

## The following initializes the development version of Bioconductor
BiocManager::install(version = "devel")

BiocManager::install("Mfuzz")

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

Documentation

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

browseVignettes("Mfuzz")
Introduction to Mfuzz PDF R Script
Reference ManualPDF

Details

biocViews Clustering, Microarray, Preprocessing, Software, TimeCourse, Visualization
Version2.73.0
In Bioconductor sinceBioC 1.8 (R-2.3) (20.5 years)
License GPL-2
Depends R (>= 2.5.0), Biobase (>= 2.5.5), e1071
Imports tcltk, tkWidgets
System Requirements
URLhttp://mfuzz.sysbiolab.eu/
See More
Suggests marray
Linking To
Enhances
Depends On Me cycle, MultiRNAflow
Imports Me Patterns
Suggests Me DAPAR, pctax
Links To Me
Build Report Build Report, r-universe

Package Archives

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

Source Package Mfuzz_2.73.0.tar.gz
Windows Binary (x86_64) Mfuzz_2.73.0.zip
macOS Binary (big-sur-x86_64) Mfuzz_2.73.0.tgz
macOS Binary (sonoma-arm64) Mfuzz_2.73.0.tgz
Source Repositorygit clone https://git.bioconductor.org/packages/Mfuzz
Source Repository (Developer Access)git clone git@git.bioconductor.org:packages/Mfuzz
Package Short Url https://bioconductor.org/packages/Mfuzz/
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