Detecting periodic genes from irregularly sampled gene expressions: a comparison study. Academic Article uri icon

abstract

  • 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.

published proceedings

  • EURASIP J Bioinform Syst Biol

author list (cited authors)

  • Zhao, W., Agyepong, K., Serpedin, E., & Dougherty, E. R

citation count

  • 19

complete list of authors

  • Zhao, Wentao||Agyepong, Kwadwo||Serpedin, Erchin||Dougherty, Edward R

publication date

  • June 2008