4.7 Article

MetaCycle: an integrated R package to evaluate periodicity in large scale data

Journal

BIOINFORMATICS
Volume 32, Issue 21, Pages 3351-3353

Publisher

OXFORD UNIV PRESS
DOI: 10.1093/bioinformatics/btw405

Keywords

-

Funding

  1. National Institute of Neurological Disorders and Stroke [5R01NS054794-08]
  2. Defence Advanced Research Projects Agency [DARPA-D12AP00025]

Ask authors/readers for more resources

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.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.7
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available