Mfuzz
Soft clustering of omics time series data
Bioconductor version: 3.23 · Package version: 2.72.0
Other Bioconductor versions
devel is the development version; release is the current stable one.
3.24 (devel), 3.23 (release)
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.
Installation
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("Mfuzz")Details
| Maintainer | Matthias Futschik <matthias.futschik@sysbiolab.eu> |
| Author | Matthias Futschik <matthias.futschik@sysbiolab.eu> |
| License | GPL-2 |
| URL | http://mfuzz.sysbiolab.eu/ |
| Source branch | RELEASE_3_23 |
| Build report | Bioconductor build system, r-universe |
| biocViews | Clustering, Microarray, Preprocessing, Software, TimeCourse, Visualization |
| Package Short Url | https://bioconductor.org/packages/Mfuzz/ |
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 2.72.0, https://bioconductor.org/packages/Mfuzz.
Generated from the package metadata; it may differ from the package's own citation.
Documentation
Download
Follow the installation instructions to use this package in your R session.
| Source package | Mfuzz_2.72.0.tar.gz |
| Windows binary (x86_64) | Mfuzz_2.72.0.zip |
| macOS binary (arm64) | Mfuzz_2.72.0.tgz |
| macOS binary (x86_64) | Mfuzz_2.72.0.tgz |
Dependencies
Depends: R (>= 2.5.0), Biobase (>= 2.5.5), e1071
Imports: tcltk, tkWidgets
Suggests: marray