Article
Comparison of automated candidate gene prediction systems using genes implicated in type 2 diabetes by genome-wide association studies.
BMC bioinformatics - 30 Jan 2009
Teber Erdahl T, Liu Jason Y, Ballouz Sara, Fatkin Diane, Wouters Merridee A
Abstract excerpt
BACKGROUND: Automated candidate gene prediction systems allow geneticists to hone in on disease genes more rapidly by identifying the most probable candidate genes linked to the disease phenotypes under investigation. Here we assessed the ability of eight different candidate gene prediction systems to predict disease genes in intervals previously associated with type 2 diabetes by benchmarking their performance...
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