Detecting periodic genes from irregularly sampled gene expressions: A comparison study

Erchin Serpedin, Wentao Zhao, Kwadwo Agyepong, Edward R. Dougherty

Research output: Contribution to journalArticle

13 Citations (Scopus)


Time series microarray measurements of gene expressions have been exploited to discover genes involved in cell cycles. Due to experimental constraints, most microarray observations are obtained through irregular sampling. In this paper three popular spectral analysis schemes, namely, Lomb-Scargle, Capon and missing-data amplitude and phase estimation (MAPES), are compared in terms of their ability and efficiency to recover periodically expressed genes. Based on in silico experiments for microarray measurements of Saccharomyces cerevisiae, Lomb-Scargle is found to be the most efficacious scheme. 149 genes are then identified to be periodically expressed in the Drosophila melanogaster data set.

Original languageEnglish
Article number769293
JournalEurasip Journal on Bioinformatics and Systems Biology
Publication statusPublished - 2008
Externally publishedYes


ASJC Scopus subject areas

  • Signal Processing
  • Statistics and Probability
  • Computer Science(all)
  • Medicine(all)
  • General

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