Published in Genetics and Environmental Health Week, September 2nd, 2009
Rather than searching one at a time for genetic alterations that cause a particular symptom or trait, as in most conventional approaches, the Carnegie Mellon scientists use a statistical method that enables them to uncover genome variations underlying an entire regulatory network of genes or traits that are responsible for complex diseases. Professor Eric P. Xing and postdoctoral scientist...
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