Application of random matrix theory to microarray data for discovering functional gene modules

Physical Review E - Statistical, Nonlinear, and Soft Matter Physics

Volumn 73, Issue 3, 2006, Pages

  Luo, Feng ^a   Zhong, Jianxin ^b,c   Yang, Yunfeng ^d   Zhou, Jizhong ^d,e  

^a Clemson University   (United States)

^b XIANGTAN UNIVERSITY   (China)

^c OAK RIDGE NATIONAL LABORATORY   (United States)

^d OAK RIDGE NATIONAL LABORATORY   (United States)

^e UNIVERSITY OF OKLAHOMA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

MICROARRAYS; RANDOM MATRIX THEORY; SPECTRAL FLUCTUATION;

CORRELATION METHODS; MATRIX ALGEBRA; POISSON DISTRIBUTION; RANDOM PROCESSES; STATISTICAL METHODS; YEAST;

GENES;

PROTEOME;

ALGORITHM; ANIMAL; BIOLOGICAL MODEL; COMPUTER SIMULATION; DNA MICROARRAY; GENE EXPRESSION PROFILING; GENE EXPRESSION REGULATION; HUMAN; METABOLISM; PHYSIOLOGY; PROCEDURES; SIGNAL TRANSDUCTION; STATISTICAL MODEL;

ALGORITHMS; ANIMALS; COMPUTER SIMULATION; GENE EXPRESSION PROFILING; GENE EXPRESSION REGULATION; HUMANS; MODELS, GENETIC; MODELS, STATISTICAL; OLIGONUCLEOTIDE ARRAY SEQUENCE ANALYSIS; PROTEOME; SIGNAL TRANSDUCTION;

EID: 33645518516     PISSN: 15393755     EISSN: 15502376     Source Type: Journal    
DOI: 10.1103/PhysRevE.73.031924     Document Type: Article

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