An empirical bayesian method for estimating biological networks from temporal microarray data

Statistical Applications in Genetics and Molecular Biology

Volumn 9, Issue 1, 2010, Pages

  Rau, Andrea ^a   Jaffrézic, Florence ^b   Foulley, Jean Louis ^b   Doerge, Rebecca W ^a  

^a PURDUE UNIVERSITY   (United States)

^b AGROPARISTECH   (France)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHM; ARTICLE; BAYES THEOREM; CALCULATION; DATA ANALYSIS; GENE EXPRESSION; GENE REGULATORY NETWORK; MICROARRAY ANALYSIS; NONHUMAN; PARAMETER; SIMULATION; TIME SERIES ANALYSIS; BIOLOGICAL MODEL; BIOSTATISTICS; COMPUTER SIMULATION; DNA MICROARRAY; GENE EXPRESSION PROFILING; GENETICS; HUMAN; IMMUNOLOGY; LYMPHOCYTE ACTIVATION; METABOLISM; RECEIVER OPERATING CHARACTERISTIC; STATISTICAL MODEL; STATISTICS; T LYMPHOCYTE;

ALGORITHMS; BAYES THEOREM; BIOSTATISTICS; COMPUTER SIMULATION; GENE EXPRESSION PROFILING; GENE REGULATORY NETWORKS; HUMANS; LYMPHOCYTE ACTIVATION; MODELS, GENETIC; MODELS, STATISTICAL; OLIGONUCLEOTIDE ARRAY SEQUENCE ANALYSIS; ROC CURVE; T-LYMPHOCYTES;

EID: 77649166995     PISSN: None     EISSN: 15446115     Source Type: Journal    
DOI: 10.2202/1544-6115.1513     Document Type: Article

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