MetaCycle: an integrated R package to evaluate periodicity in large scale data
MetaCycle: an integrated R package to evaluate periodicity in large scale data
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DOI：
10.1093/bioinformatics/btw405
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发表时间：
2016-11-01
期刊：
影响因子：
5.8
通讯作者：
Hogenesch, John B.
中科院分区：
文献类型：
--
作者：
Wu, Gang;Anafi, Ron C.;Hogenesch, John B.
检测大规模数据中的周期性仍然是一个挑战。虽然已经做出了努力来识别最佳的算法，但在将这些方法集成到可推广的方法中的研究相对较少。在这里，我们介绍了MetaCycle，这是一个R包，它结合了ARSER，JTK_Cycle和Lomb-Scarger，以方便地评估时间序列数据的周期性。MetaCycle有两个函数meta2d和meta3d，分别用于分析二维和三维时间序列数据集。Meta2d使用一套算法并集成它们的结果来实现N版本编程概念。
Detecting periodicity in large scale data remains a challenge. While efforts have been made to identify best of breed algorithms, relatively little research has gone into integrating these methods in a generalizable method. Here, we present MetaCycle, an R package that incorporates ARSER, JTK_CYCLE and Lomb-Scargle to conveniently evaluate periodicity in time-series data. MetaCycle has two functions, meta2d and meta3d, designed to analyze two-dimensional and three-dimensional time-series datasets, respectively. Meta2d implements N-version programming concepts using a suite of algorithms and integrating their results.