Phenotype Prediction Using Genomic Selection Models

Plant Breeding Genetics › Machine Learning QTL Mapping Research

Phenotype Prediction Using Genomic Selection Models

Interns will build and validate machine learning models that predict quantitative traits from genomic markers using algorithms such as random forests, gradient boosting, and support vector machines. They will evaluate model performance through cross-validation and contribute to genomic selection breeding programs.

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