LSPR

LSPR is an algorithm for identifying periodic patterns in time series data. It begins by removing linear trends and noise, utilizes a Lomb-Scargle periodogram to estimate periodicity, and applies harmonic regression to model cyclic components. The results are then verified using a false discovery rate.

Topic

DNA

Detail

  • Operation: Microarray data analysis

  • Software interface: Command-line user interface

  • Language: MATLAB

  • License: Other

  • Cost: Free

  • Version name: -

  • Credit: Ministry of Science and Technology of China, College Student Research and Career-creation Program of Beijing.

  • Input: -

  • Output: -

  • Contact: Zhen Su zhensu@cau.edu.cn

  • Collection: -

  • Maturity: -

Publications

  • LSPR: an integrated periodicity detection algorithm for unevenly sampled temporal microarray data.
  • Yang R, et al. LSPR: an integrated periodicity detection algorithm for unevenly sampled temporal microarray data. LSPR: an integrated periodicity detection algorithm for unevenly sampled temporal microarray data. 2011; 27:1023-5. doi: 10.1093/bioinformatics/btr041
  • https://doi.org/10.1093/bioinformatics/btr041
  • PMID: 21296749
  • PMC: -

Download and documentation

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