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BaSAR—A tool in R for frequency detection
Many biological processes are periodic, for example cell cycle expression, circadian rhythms and calcium oscillations. However, measured time series from these processes are commonly short and noisy, and finding frequencies in such data can be challenging. Here we present BaSAR, Bayesian Spectrum An...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier Science Ireland
2012
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3462997/ https://www.ncbi.nlm.nih.gov/pubmed/22925599 http://dx.doi.org/10.1016/j.biosystems.2012.07.004 |
_version_ | 1782245237193703424 |
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author | Granqvist, Emma Hartley, Matthew Morris, Richard J. |
author_facet | Granqvist, Emma Hartley, Matthew Morris, Richard J. |
author_sort | Granqvist, Emma |
collection | PubMed |
description | Many biological processes are periodic, for example cell cycle expression, circadian rhythms and calcium oscillations. However, measured time series from these processes are commonly short and noisy, and finding frequencies in such data can be challenging. Here we present BaSAR, Bayesian Spectrum Analysis in R, a package for extracting frequency information from time series data. The software uses advanced techniques of Bayesian inference that are well suited for handling typical biological data. The core functions are designed for detecting a single key frequency, without the need for data pre-processing such as detrending. The package is freely available at CRAN – The Comprehensive R Archive Network: http://cran.r-project.org/web/packages/BaSAR. |
format | Online Article Text |
id | pubmed-3462997 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2012 |
publisher | Elsevier Science Ireland |
record_format | MEDLINE/PubMed |
spelling | pubmed-34629972012-10-19 BaSAR—A tool in R for frequency detection Granqvist, Emma Hartley, Matthew Morris, Richard J. Biosystems Article Many biological processes are periodic, for example cell cycle expression, circadian rhythms and calcium oscillations. However, measured time series from these processes are commonly short and noisy, and finding frequencies in such data can be challenging. Here we present BaSAR, Bayesian Spectrum Analysis in R, a package for extracting frequency information from time series data. The software uses advanced techniques of Bayesian inference that are well suited for handling typical biological data. The core functions are designed for detecting a single key frequency, without the need for data pre-processing such as detrending. The package is freely available at CRAN – The Comprehensive R Archive Network: http://cran.r-project.org/web/packages/BaSAR. Elsevier Science Ireland 2012-10 /pmc/articles/PMC3462997/ /pubmed/22925599 http://dx.doi.org/10.1016/j.biosystems.2012.07.004 Text en © 2012 Elsevier Ireland Ltd. https://creativecommons.org/licenses/by/3.0/ Open Access under CC BY 3.0 (https://creativecommons.org/licenses/by/3.0/) license |
spellingShingle | Article Granqvist, Emma Hartley, Matthew Morris, Richard J. BaSAR—A tool in R for frequency detection |
title | BaSAR—A tool in R for frequency detection |
title_full | BaSAR—A tool in R for frequency detection |
title_fullStr | BaSAR—A tool in R for frequency detection |
title_full_unstemmed | BaSAR—A tool in R for frequency detection |
title_short | BaSAR—A tool in R for frequency detection |
title_sort | basar—a tool in r for frequency detection |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3462997/ https://www.ncbi.nlm.nih.gov/pubmed/22925599 http://dx.doi.org/10.1016/j.biosystems.2012.07.004 |
work_keys_str_mv | AT granqvistemma basaratoolinrforfrequencydetection AT hartleymatthew basaratoolinrforfrequencydetection AT morrisrichardj basaratoolinrforfrequencydetection |