Convergent functional genomics: A Bayesian candidate gene identification approach for complex disorders

Methods

Volumn 37, Issue 3, 2005, Pages 274-279

  Bertsch, B ^a   Ogden, C A ^b   Sidhu, K ^a   Le Niculescu, H ^a   Kuczenski, R ^c   Niculescu, A B ^a  

^a INDIANA UNIVERSITY SCHOOL OF MEDICINE   (United States)

^b DREXEL UNIVERSITY COLLEGE OF MEDICINE   (United States)

^c UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

Animal models; Bayesian; Candidate genes; Convergent functional genomics; Gene expression; Human genetics

Indexed keywords

ARTICLE; AUTOPSY; BAYES THEOREM; BIOINFORMATICS; BIOLOGY; BRAIN; CELL CULTURE; CHROMOSOME; DNA MICROARRAY; FUNCTIONAL GENOMICS; GENE EXPRESSION; GENE IDENTIFICATION; GENETIC LINKAGE; GENETICS; GENOMICS; HUMAN; HUMAN TISSUE; MOUSE; NEUROPSYCHIATRY; NONHUMAN; PATHOPHYSIOLOGY; PRIORITY JOURNAL; PROBABILITY; VALIDATION PROCESS;

ANIMALS; BAYES THEOREM; DATABASES, FACTUAL; DISEASE MODELS, ANIMAL; GENE EXPRESSION PROFILING; GENOMICS; HUMANS; LINKAGE (GENETICS); MENTAL DISORDERS; PHARMACOGENETICS; SIGNAL TRANSDUCTION; SOFTWARE;

ANIMALIA;

EID: 27844556870     PISSN: 10462023     EISSN: 10959130     Source Type: Journal    
DOI: 10.1016/j.ymeth.2005.03.012     Document Type: Article

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