rain
The software tool "RAIN" addresses challenges in detecting and assessing the significance of biological rhythms within large datasets. Traditional Fourier-based methods face limitations due to the unpredictable nature of experimental and biological noise. While robust nonparametric methods exist, they are often restricted to specific waveforms. RAIN is a robust nonparametric method capable of detecting rhythms with prespecified periods in biological data, accommodating arbitrary waveforms.
Topic
Microarray experiment;Proteomics;Data mining
Detail
Operation: Nucleic acid feature detection
Software interface: Command-line user interface,Library
Language: R
License: GNU General Public License, version 2
Cost: Free
Version name: 1.36.0
Credit: -
Input: -
Output: -
Contact: Paul F. Thaben paul.thaben@charite.de
Collection: -
Maturity: Stable
Publications
- Detecting rhythms in time series with RAIN.
- Thaben PF and Westermark PO. Detecting rhythms in time series with RAIN. Detecting rhythms in time series with RAIN. 2014; 29:391-400. doi: 10.1177/0748730414553029
- https://doi.org/10.1177/0748730414553029
- PMID: 25326247
- PMC: PMC4266694
Download and documentation
Source: http://bioconductor.org/packages/release/bioc/src/contrib/rain_1.36.0.tar.gz
Documentation: http://bioconductor.org/packages/release/bioc/manuals/rain/man/rain.pdf
Home page: http://bioconductor.org/packages/release/bioc/html/rain.html
Links: http://bioconductor.org/packages/release/bioc/vignettes/rain/inst/doc/rain.pdf
Links: http://bioconductor.org/packages/release/bioc/vignettes/rain/inst/doc/rain.R
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