(University of California - Los Angeles) In a new study to be published in the April edition of Nature Genetics, Eleazar Eskin, associate professor of computer science at UCLA Engineering, and his research group unveil a new computational strategy for genome-wide association studies that corrects for population structure and is both faster and easier to use.
Read »New statistical method for genetic studies could cut computation time from years to hours
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