By Topic

Identifying drosophila cell-cycle regulated genes from irregular microarray data

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

4 Author(s)
Wentao Zhao ; Dept. of Electr. & Comput. Eng., Texas A&M Univ., College Station, TX ; Agyepong, K. ; Serpedin, E. ; Dougherty, E.R.

Due to experimental constraints, most microarray observations are obtained through irregular sampling. In this paper three popular spectral analyzing schemes, i.e., Lomb-Scargle, Capon and the missing data amplitude and phase estimation (MAPES), are compared in terms of their ability and efficiency to recover the periodically expressed genes. The in silico experiments based on microarray measurements of drosophila melanogaster not only verify half of the published cell-cycle genes, but also corroborate genes that behave periodically in human Hela time series experiments.

Published in:

Acoustics, Speech and Signal Processing, 2008. ICASSP 2008. IEEE International Conference on

Date of Conference:

March 31 2008-April 4 2008