Mfuzz
Soft clustering of time series gene expression data
Bioconductor version: 2.6
Package for noise-robust soft clustering of gene expression time-series data (including a graphical user interface)
Author: Matthias Futschik
Maintainer: Matthias Futschik
To install this package, start R and enter:
source("http:///biocLite.R")
biocLite("Mfuzz")
To cite this package in a publication, start R and enter:
citation("Mfuzz")
Documentation
| R Script | Introduction to Mfuzz | |
| MfuzzguiScreenshot.pdf | ||
| yeasttable3.pdf | ||
| Reference Manual |
Details
| biocViews | Microarray, Clustering, TimeCourse, Preprocessing, Visualization |
| Depends | R, Biobase, e1071 |
| Imports | tcltk, tkWidgets |
| Suggests | marray |
| System Requirements | |
| License | GPL-2 |
| URL | http://itb.biologie.hu-berlin.de/~futschik/software/R/Mfuzz/ |
| Depends On Me | cycle |
| Imports Me | maSigPro |
| Suggests Me | |
| Version | 2.6.0 |
| Since | Bioconductor 1.8 (R-2.3) |
Package Downloads
| Package Source | Mfuzz_2.6.0.tar.gz |
| Windows Binary | Mfuzz_2.6.0.zip (32- & 64-bit) |
| MacOS 10.5 (Leopard) binary | Mfuzz_2.6.0.tgz |
| Package Downloads Report | Download Stats |
Common Bioconductor workflows include:
- Oligonucleotide Arrays
- High-throughput Sequencing
- Annotation
- Flow Cytometry and other assays
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