DocumentCode
3406257
Title
Identifying drosophila cell-cycle regulated genes from irregular microarray data
Author
Zhao, Wentao ; Agyepong, Kwadwo ; Serpedin, Erchin ; Dougherty, Edward R.
Author_Institution
Dept. of Electr. & Comput. Eng., Texas A&M Univ., College Station, TX
fYear
2008
fDate
March 31 2008-April 4 2008
Firstpage
633
Lastpage
636
Abstract
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.
Keywords
cellular biophysics; medical signal detection; phase estimation; signal sampling; spectral analysis; time series; Capon scheme; Lomb-Scargle scheme; drosophila cell-cycle regulated genes; drosophila melanogaster; human Hela time series; irregular microarray data; microarray measurements; missing data amplitude and phase estimation; periodically expressed genes; spectral analysis; Bioinformatics; Diseases; Frequency; Genomics; Humans; Noise robustness; Phase estimation; Sampling methods; Spectral analysis; Stochastic resonance; Biological Systems; Genetics; Spectral analysis;
fLanguage
English
Publisher
ieee
Conference_Titel
Acoustics, Speech and Signal Processing, 2008. ICASSP 2008. IEEE International Conference on
Conference_Location
Las Vegas, NV
ISSN
1520-6149
Print_ISBN
978-1-4244-1483-3
Electronic_ISBN
1520-6149
Type
conf
DOI
10.1109/ICASSP.2008.4517689
Filename
4517689
Link To Document