To install this package, start R and enter:

## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("cycle")

In most cases, you don't need to download the package archive at all.

cycle

 

   

Significance of periodic expression pattern in time-series data

Bioconductor version: Release (3.4)

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 and enter:

## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("cycle")

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 1.28.0
In Bioconductor since BioC 2.5 (R-2.10) (7 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
Build Report  

Package Archives

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

Package Source cycle_1.28.0.tar.gz
Windows Binary cycle_1.28.0.zip
Mac OS X 10.9 (Mavericks) cycle_1.28.0.tgz
Subversion source (username/password: readonly)
Git source https://github.com/Bioconductor-mirror/cycle/tree/release-3.4
Package Short Url http://bioconductor.org/packages/cycle/
Package Downloads Report Download Stats

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