Gene coexpression measures in large heterogeneous samples using count statistics

Proceedings of the National Academy of Sciences of the United States of America

Volumn 111, Issue 46, 2014, Pages 16371-16376

  Wang, Y X Rachel ^a   Waterman, Michael S ^b   Huang, Haiyan ^a  

^a UNIVERSITY OF CALIFORNIA   (United States)

^b UNIVERSITY OF SOUTHERN CALIFORNIA   (United States)

Author keywords

Bivariate association; Local rank patterns; Random permutation statistics; Stein's approximation

Indexed keywords

ARTICLE; GENE EXPRESSION; GENE INTERACTION; GENE STRUCTURE; NONHUMAN; STATISTICAL DISTRIBUTION; STATISTICS; TIME SERIES ANALYSIS; ALGORITHM; ARABIDOPSIS; BIOLOGICAL MODEL; BIOLOGY; BIOSYNTHESIS; COMPARATIVE STUDY; COMPUTER SIMULATION; CYTOLOGY; FUNGAL GENE; GENE EXPRESSION PROFILING; GENE EXPRESSION REGULATION; GENE REGULATORY NETWORK; GENETICS; METABOLISM; MONTE CARLO METHOD; PLANT GENE; PROCEDURES; SACCHAROMYCES CEREVISIAE; STATISTICS AND NUMERICAL DATA; TIME; VALIDATION STUDY;

ARABIDOPSIS PROTEIN; CELL CYCLE PROTEIN; SACCHAROMYCES CEREVISIAE PROTEIN;

ALGORITHMS; ARABIDOPSIS; ARABIDOPSIS PROTEINS; CELL CYCLE PROTEINS; COMPUTATIONAL BIOLOGY; COMPUTER SIMULATION; GENE EXPRESSION PROFILING; GENE EXPRESSION REGULATION, FUNGAL; GENE EXPRESSION REGULATION, PLANT; GENE REGULATORY NETWORKS; GENES, FUNGAL; GENES, PLANT; MODELS, GENETIC; MONTE CARLO METHOD; SACCHAROMYCES CEREVISIAE; SACCHAROMYCES CEREVISIAE PROTEINS; TIME FACTORS;

EID: 84911866138     PISSN: 00278424     EISSN: 10916490     Source Type: Journal    
DOI: 10.1073/pnas.1417128111     Document Type: Article

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