CPC G06N 5/04 (2013.01) [G06N 20/00 (2019.01); G16B 20/00 (2019.02); G16B 40/00 (2019.02)] | 21 Claims |
1. A method executed by one or more computing devices for efficiently optimizing a phenotype with a specialized prediction model, the method comprising:
training, by at least one of the one or more computing devices, a phenotype prediction model based at least in part on a plurality of experimental data points and one or more constraints, the plurality of experimental data points comprising the genotype information and corresponding phenotype information;
applying, by at least one of the one or more computing devices, the phenotype prediction model to a plurality of available genotypes corresponding to the one or more of constrains to generate a plurality of scores, the phenotype prediction model being configured to predict one or more phenotypic attributes of the plurality of available genotypes;
determining, by at least one of the one or more computing devices, a plurality of result genotypes based at least in part on a ranking of the plurality of available genotypes according to the plurality of scores; and
generating, by at least one of the one or more computing devices, a result based at least in part on the plurality of result genotypes, the result indicating one or more genetic constructs for testing.
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