Google Research evaluates cross-population genetic risk prediction methods

Google Research published a blog evaluating ways to improve cross-population genetic risk prediction, finding that transfer learning from European cohorts helps small populations but degrades accuracy as target cohort sample sizes grow.

This update bears on 3 kinds of work in 2 markets. Highest level accepted: L1 Assisted.

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  Analyze biological samples and omics dataLife sciences and medical research
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  Develop algorithms and study computational propertiesComputing and engineering research
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  Build research prototypes and run comparative experimentsComputing and engineering research
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