rain

DOI: 10.18129/B9.bioc.rain    

Rhythmicity Analysis Incorporating Non-parametric Methods

Bioconductor version: Release (3.13)

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>

Citation (from within R, enter citation("rain")):

Installation

To install this package, start R (version "4.1") and enter:

if (!requireNamespace("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("rain")

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("rain")

 

PDF R Script Rain Usage
PDF   Reference Manual
Text   NEWS

Details

biocViews Genetics, Microarray, MultipleComparison, Proteomics, Software, SystemsBiology, TimeCourse
Version 1.26.0
In Bioconductor since BioC 3.0 (R-3.1) (7 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
Links To Me
Build Report  

Package Archives

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

Source Package rain_1.26.0.tar.gz
Windows Binary rain_1.26.0.zip (32- & 64-bit)
macOS 10.13 (High Sierra)
Source Repository git clone https://git.bioconductor.org/packages/rain
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/rain
Package Short Url https://bioconductor.org/packages/rain/
Package Downloads Report Download Stats

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