cycle
Significance of periodic expression pattern in time-series data
Bioconductor version: Release (3.20)
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>
Citation (from within R, enter
citation("cycle")):
Installation
To install this package, start R (version "4.4") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("cycle")
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("cycle")| Introduction to cycle | R Script | |
| Reference Manual |
Details
| biocViews | Microarray, Software, TimeCourse |
| Version | 1.60.0 |
| In Bioconductor since | BioC 2.5 (R-2.10) (15 years) |
| License | GPL-2 |
| Depends | R (>= 2.10.0), Mfuzz |
| Imports | Biobase, stats |
| System Requirements | |
| URL | http://cycle.sysbiolab.eu |
See More
| Suggests | |
| Linking To | |
| Enhances | |
| Depends On Me | |
| Imports Me | |
| Suggests Me | |
| Links To Me | |
| Build Report | Build Report |
Package Archives
Follow Installation instructions to use this package in your R session.
| Source Package | cycle_1.60.0.tar.gz |
| Windows Binary (x86_64) | cycle_1.60.0.zip |
| macOS Binary (x86_64) | cycle_1.60.0.tgz |
| macOS Binary (arm64) | cycle_1.60.0.tgz |
| Source Repository | git clone https://git.bioconductor.org/packages/cycle |
| Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/cycle |
| Bioc Package Browser | https://code.bioconductor.org/browse/cycle/ |
| Package Short Url | https://bioconductor.org/packages/cycle/ |
| Package Downloads Report | Download Stats |