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 :
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