cycle
Significance of periodic expression pattern in time-series data
Bioconductor version: 2.9
Package for assessing the statistical significance of periodic expression based on Fourier analysis and comparison with data generated by different background models
Author: Matthias Futschik <mfutschik at ualg.pt>
Maintainer: Matthias Futschik <mfutschik at ualg.pt>
To install this package, start R and enter:
source("http://bioconductor.org/biocLite.R")
biocLite("cycle")
To cite this package in a publication, start R and enter:
citation("cycle")
Documentation
| R Script | Introduction to cycle | |
| Reference Manual |
Details
| biocViews | Microarray, Bioinformatics, TimeCourse |
| Depends | R (>= 2.10.0), Mfuzz |
| Imports | Biobase, stats |
| Suggests | |
| System Requirements | |
| License | GPL-2 |
| URL | http://itb.biologie.hu-berlin.de/~futschik/software/R/cycle/index.html |
| Depends On Me | |
| Imports Me | |
| Suggests Me | |
| Version | 1.8.0 |
| Since | Bioconductor 2.5 (R-2.10) |
Package Downloads
| Package Source | cycle_1.8.0.tar.gz |
| Windows Binary | cycle_1.8.0.zip (32- & 64-bit) |
| MacOS 10.5 (Leopard) binary | cycle_1.8.0.tgz |
| Package Downloads Report | Download Stats |
Common Bioconductor workflows include:
- Oligonucleotide Arrays
- High-throughput Sequencing
- Annotation
- Variants
- Flow Cytometry and other assays
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