Comparison of automated candidate gene prediction systems using genes implicated in type 2 diabetes by genome-wide association studies

BMC Bioinformatics

Volumn 10, Issue SUPPL. 1, 2009, Pages

  Teber, Erdahl T ^a   Liu, Jason Y ^a   Ballouz, Sara ^a   Fatkin, Diane ^a,b   Wouters, Merridee A ^a,b  

^a VICTOR CHANG CARDIAC RESEARCH INSTITUTE   (Australia)

^b UNIVERSITY OF NEW SOUTH WALES   (Australia)

Author keywords

[No Author keywords available]

Indexed keywords

CANDIDATE GENES; DISEASE PHENOTYPES; FURTHER WORKS; GENOME-WIDE ASSOCIATION STUDIES; PREDICTION SYSTEMS; PRIORITIZATION; SEARCH SPACES; TYPE-2 DIABETES;

BENCHMARKING; FORECASTING; BIOINFORMATICS;

GENES;

ARTICLE; BIOLOGICAL MODEL; COMPARATIVE STUDY; GENE REGULATORY NETWORK; GENETIC ASSOCIATION; GENETIC DATABASE; GENETIC PREDISPOSITION; GENETICS; HUMAN; HUMAN GENOME; METHODOLOGY; NON INSULIN DEPENDENT DIABETES MELLITUS; SINGLE NUCLEOTIDE POLYMORPHISM;

DATABASES, GENETIC; DIABETES MELLITUS, TYPE 2; GENE REGULATORY NETWORKS; GENETIC PREDISPOSITION TO DISEASE; GENOME, HUMAN; GENOME-WIDE ASSOCIATION STUDY; HUMANS; MODELS, GENETIC; POLYMORPHISM, SINGLE NUCLEOTIDE;

EID: 60849108331     PISSN: None     EISSN: 14712105     Source Type: Journal    
DOI: 10.1186/1471-2105-10-S1-S69     Document Type: Article

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