Granqvist Emma, Hartley Matthew, Morris Richard J
Department of Computational & Systems Biology, The John Innes Centre, Norwich Research Park, Norwich, UK.
Biosystems. 2012 Oct;110(1):60-3. doi: 10.1016/j.biosystems.2012.07.004. Epub 2012 Aug 18.
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.
许多生物过程具有周期性，例如细胞周期表达、昼夜节律和钙振荡。然而，从这些过程中测得的时间序列通常较短且有噪声，在这样的数据中寻找频率可能具有挑战性。在这里，我们展示了BaSAR，即R语言中的贝叶斯频谱分析，这是一个用于从时间序列数据中提取频率信息的软件包。该软件使用了非常适合处理典型生物数据的贝叶斯推理先进技术。其核心功能旨在检测单个关键频率，而无需诸如去趋势等数据预处理。该软件包可在CRAN - 综合R存档网络免费获取：http://cran.r-project.org/web/packages/BaSAR 。
