tailieunhanh - Báo cáo hóa học: " Research Article Detecting Periodic Genes from Irregularly Sampled Gene Expressions: A Comparison Study"

Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: Research Article Detecting Periodic Genes from Irregularly Sampled Gene Expressions: A Comparison Study | Hindawi Publishing Corporation EURASIP Journal on Bioinformatics and Systems Biology Volume 2008 Article ID 769293 8 pages doi 2008 769293 Research Article Detecting Periodic Genes from Irregularly Sampled Gene Expressions A Comparison Study Wentao Zhao 1 Kwadwo Agyepong 1 Erchin Serpedin 1 and Edward R. Dougherty2 1 Department of Electrical and Computer Engineering Texas A M University College Station TX 77843 USA 2 Genomics Research Institute 400 North Fifth Street Suite 1600 Phoenix AZ 85004 USA Correspondence should be addressed to Erchin Serpedin serpedin@ Received 29 August 2007 Revised 11 March 2008 Accepted 20 May 2008 Recommended by Javier Garcia-Frias 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. Copyright 2008 Wentao Zhao et al. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use distribution and reproduction in any medium provided the original work is properly cited. 1. Introduction The functioning of eukaryotic cells is controlled by accurate timing of biological cycles such as cell cycles and circadian rhythms. These are composed of an echelon of molecular events and checkpoints. At the transcription level these events can be quantitatively observed by measuring the concentration of messenger RNA mRNA which is transcribed from .