Gene- and evidence-based candidate gene selection for schizophrenia and gene feature analysis

Artificial Intelligence in Medicine

Volumn 48, Issue 2-3, 2010, Pages 99-106

  Sun, Jingchun ^a   Han, Leng ^a   Zhao, Z ^a,b  

^a VANDERBILT UNIVERSITY MEDICAL CENTER   (United States)

^b VANDERBILT INGRAM CANCER CENTER   (United States)

Author keywords

Association studies; Candidate genes; Odds ratio; Schizophrenia

Indexed keywords

ARTIFICIAL INTELLIGENCE IN MEDICINE; CANDIDATE GENES; CARDIO-VASCULAR DISEASE; COMPLEX DISEASE; FEATURE ANALYSIS; GENE ONTOLOGY; GENE RANKING; ODDS RATIOS; PRIORITIZATION; PSYCHIATRIC DISORDERS; STRONG CORRELATION;

ARTIFICIAL INTELLIGENCE; FEATURE EXTRACTION; HISTOLOGY; ONTOLOGY; SULFUR COMPOUNDS;

GENE EXPRESSION;

ANALYTIC METHOD; ARTICLE; BEHAVIOR GENETICS; BRAIN TISSUE; CONTROLLED STUDY; EVIDENCE BASED MEDICINE; GENE EXPRESSION; GENE FREQUENCY; GENETIC ANALYSIS; GENETIC ASSOCIATION; GENETIC DATABASE; GENETIC MARKER; GENETIC RISK; GENETIC SELECTION; GENETIC SUSCEPTIBILITY; HUMAN; HUMAN TISSUE; MARKER GENE; NERVOUS TISSUE; PRIORITY JOURNAL; SCHIZOPHRENIA;

ARTIFICIAL INTELLIGENCE; DATA MINING; DATABASES, GENETIC; EVIDENCE-BASED MEDICINE; GENE EXPRESSION PROFILING; GENETIC ASSOCIATION STUDIES; GENETIC MARKERS; GENETIC PREDISPOSITION TO DISEASE; HUMANS; ODDS RATIO; REPRODUCIBILITY OF RESULTS; RISK ASSESSMENT; RISK FACTORS; SCHIZOPHRENIA; SYSTEMS BIOLOGY; SYSTEMS INTEGRATION;

EID: 77951636682     PISSN: 09333657     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.artmed.2009.07.009     Document Type: Article

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