DOI: 10.18129/B9.bioc.rain  

This package is for version 3.16 of Bioconductor; for the stable, up-to-date release version, see rain.

Rhythmicity Analysis Incorporating Non-parametric Methods

Bioconductor version: 3.16

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")):


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biocViews Genetics, Microarray, MultipleComparison, Proteomics, Software, SystemsBiology, TimeCourse
Version 1.32.0
In Bioconductor since BioC 3.0 (R-3.1) (8.5 years)
License GPL-2
Depends R (>= 2.10), gmp, multtest
Suggests lattice, BiocStyle
Depends On Me
Imports Me
Suggests Me
Links To Me
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Source Package rain_1.32.0.tar.gz
Windows Binary rain_1.32.0.zip
macOS Binary (x86_64) rain_1.32.0.tgz
macOS Binary (arm64) rain_1.32.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/rain
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/rain
Bioc Package Browser https://code.bioconductor.org/browse/rain/
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