Mfuzz
Soft clustering of time series gene expression data
Bioconductor version: Release (3.17)
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 (version "4.3") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
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 | R Script | |
| Reference Manual |
Details
| biocViews | Clustering, Microarray, Preprocessing, Software, TimeCourse, Visualization |
| Version | 2.60.0 |
| In Bioconductor since | BioC 1.8 (R-2.3) (17.5 years) |
| License | GPL-2 |
| Depends | R (>= 2.5.0), Biobase(>= 2.5.5), e1071 |
| Imports | tcltk, tkWidgets |
| Linking To | |
| Suggests | marray |
| System Requirements | |
| Enhances | |
| URL | http://mfuzz.sysbiolab.eu/ |
See More
| Depends On Me | cycle, TimiRGeN |
| Imports Me | Patterns, TOmicsVis |
| Suggests Me | DAPAR, pwOmics |
| Links To Me | |
| Build Report |
Package Archives
Follow Installation instructions to use this package in your R session.
| Source Package | Mfuzz_2.60.0.tar.gz |
| Windows Binary | Mfuzz_2.60.0.zip |
| macOS Binary (x86_64) | Mfuzz_2.60.0.tgz |
| macOS Binary (arm64) | Mfuzz_2.60.0.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/ |
| Package Downloads Report | Download Stats |