rain

DOI: 10.18129/B9.bioc.rain    

Rhythmicity Analysis Incorporating Non-parametric Methods

Bioconductor version: Release (3.6)

This package uses non-parametric methods to detect rhythms in time series. It deals with outliers, missing values and is optimized for time series comprising 10-100 measurements. As it does not assume expect any distinct waveform it is optimal or detecting oscillating behavior (e.g. circadian or cell cycle) in e.g. genome- or proteome-wide biological measurements such as: micro arrays, proteome mass spectrometry, or metabolome measurements.

Author: Paul F. Thaben, Pål O. Westermark

Maintainer: Paul F. Thaben <paul.thaben at charite.de>

Installation

To install this package, start R and enter:

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

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("rain")

 

PDF	R Script	Rain Usage
PDF		Reference Manual
Text		NEWS

Details

biocViews	Genetics, Microarray, MultipleComparison, Proteomics, Software, SystemsBiology, TimeCourse
Version	1.12.0
In Bioconductor since	BioC 3.0 (R-3.1) (3.5 years)
License	GPL-2
Depends	R (>= 2.10), gmp, multtest
Imports
LinkingTo
Suggests	lattice, BiocStyle
SystemRequirements
Enhances
URL
Depends On Me
Imports Me
Suggests Me
Build Report

Package Archives

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

Source Package	rain_1.12.0.tar.gz
Windows Binary	rain_1.12.0.zip
Mac OS X 10.11 (El Capitan)	rain_1.12.0.tgz
Source Repository	git clone https://git.bioconductor.org/packages/rain
Package Short Url	http://bioconductor.org/packages/rain/
Package Downloads Report	Download Stats