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Please use this identifier to cite or link to this item: http://ntour.ntou.edu.tw:8080/ir/handle/987654321/28229

Title: Robust Analysis and Modeling of DNA Gene Expression Data
Authors: Cheng-Fa Cheng;Meng-Lin Wu
Contributors: NTOU:Department of Communications Navigation and Control Engineering
Keywords: Robust;modeling;gene expression;microarray;characteristic modes
Date: 2007-06
Issue Date: 2011-10-21T02:36:21Z
Publisher: 2007 National Symposium on System Science and Engineering (NSSSE '07)
Abstract: Abstract:In this paper, the noisy gene expression data on DNA microarray will be analyzed and its corresponding effective characteristic modes which capture dominant trends and contribute unequally to the structure of the gene expression profiles will be derived. Firstly, the genetic algorithm (GA) will be used to estimate the missing values in the gene expression data. Then denoising of the observed gene expression data matrix with independently identically distributed (i.i.d.) random variables of Gaussian density will be explored. Statistical analysis algorithm will be applied to determine the effective characteristic modes and the gene expression profiles of the DNA microarray data based on the derived effective characteristic modes will be reconstructed. Finally the publicly available data on yeast cdc-15 synchronized cell cycle will be given to illustrate the application of our results.
URI: http://ntour.ntou.edu.tw/handle/987654321/28229
Appears in Collections:[通訊與導航工程學系] 演講及研討會

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