cycle

DOI: 10.18129/B9.bioc.cycle  

Significance of periodic expression pattern in time-series data

Bioconductor version: Release (3.16)

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>

Installation

To install this package, start R (version "4.2") 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")

 

PDF	R Script	Introduction to cycle
PDF		Reference Manual

Details

biocViews	Microarray, Software, TimeCourse
Version	1.52.0
In Bioconductor since	BioC 2.5 (R-2.10) (13.5 years)
License	GPL-2
Depends	R (>= 2.10.0), Mfuzz
Imports	Biobase, stats
LinkingTo
Suggests
SystemRequirements
Enhances
URL	http://cycle.sysbiolab.eu
Depends On Me
Imports Me
Suggests Me
Links To Me
Build Report

Package Archives

Follow Installation instructions to use this package in your R session.

Source Package	cycle_1.52.0.tar.gz
Windows Binary	cycle_1.52.0.zip
macOS Binary (x86_64)	cycle_1.52.0.tgz
macOS Binary (arm64)	cycle_1.52.0.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