Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Granqvist, Emma, Hartley, Matthew, Morris, Richard J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier Science Ireland 2012
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
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