Application of random matrix theory to microarray data for discovering functional gene modules
Abstract
We show that spectral fluctuation of coexpression correlation matrices of yeast gene microarray profiles follows the description of the Gaussian orthogonal ensemble (GOE) of the random matrix theory (RMT) and removal of small values of the correlation coefficients results in a transition from the GOE statistics to the Poisson statistics of the RMT. This transition is directly related to the structural change of the gene expression network from a global network to a network of isolated modules.
 Authors:
 Xiangtan University, Xiangtan Hunan, China
 ORNL
 unknown
 Publication Date:
 Research Org.:
 Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
 Sponsoring Org.:
 USDOE Office of Science (SC)
 OSTI Identifier:
 931911
 DOE Contract Number:
 DEAC0500OR22725
 Resource Type:
 Journal Article
 Resource Relation:
 Journal Name: Physical Review E; Journal Volume: 73; Journal Issue: 3
 Country of Publication:
 United States
 Language:
 English
 Subject:
 59 BASIC BIOLOGICAL SCIENCES; FLUCTUATIONS; FUNCTIONALS; GENES; MATRICES; REMOVAL; STATISTICS; YEASTS
Citation Formats
Luo, F., Zhong, Jianxin, Yang, Y. F., and Zhou, Jizhong. Application of random matrix theory to microarray data for discovering functional gene modules. United States: N. p., 2006.
Web. doi:10.1103/PhysRevE.73.031924.
Luo, F., Zhong, Jianxin, Yang, Y. F., & Zhou, Jizhong. Application of random matrix theory to microarray data for discovering functional gene modules. United States. doi:10.1103/PhysRevE.73.031924.
Luo, F., Zhong, Jianxin, Yang, Y. F., and Zhou, Jizhong. Wed .
"Application of random matrix theory to microarray data for discovering functional gene modules". United States.
doi:10.1103/PhysRevE.73.031924.
@article{osti_931911,
title = {Application of random matrix theory to microarray data for discovering functional gene modules},
author = {Luo, F. and Zhong, Jianxin and Yang, Y. F. and Zhou, Jizhong},
abstractNote = {We show that spectral fluctuation of coexpression correlation matrices of yeast gene microarray profiles follows the description of the Gaussian orthogonal ensemble (GOE) of the random matrix theory (RMT) and removal of small values of the correlation coefficients results in a transition from the GOE statistics to the Poisson statistics of the RMT. This transition is directly related to the structural change of the gene expression network from a global network to a network of isolated modules.},
doi = {10.1103/PhysRevE.73.031924},
journal = {Physical Review E},
number = 3,
volume = 73,
place = {United States},
year = {Wed Mar 01 00:00:00 EST 2006},
month = {Wed Mar 01 00:00:00 EST 2006}
}
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