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cycle

This is the development version of cycle; for the stable release version, see cycle.

Significance of periodic expression pattern in time-series data


Bioconductor version: Development (3.19)

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")

# The following initializes usage of Bioc devel
BiocManager::install(version='devel')

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 PDF R Script
Reference Manual PDF

Details

biocViews Microarray, Software, TimeCourse
Version 1.57.0
In Bioconductor since BioC 2.5 (R-2.10) (14.5 years)
License GPL-2
Depends R (>= 2.10.0), Mfuzz
Imports Biobase, stats
System Requirements
URL http://cycle.sysbiolab.eu
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Package Archives

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

Source Package cycle_1.57.0.tar.gz
Windows Binary cycle_1.57.0.zip
macOS Binary (x86_64) cycle_1.57.0.tgz
macOS Binary (arm64) cycle_1.57.0.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