Genomic Prediction Model Development

Genetics › Machine Learning Quantitative Genetics Research

Genomic Prediction Model Development

Interns will develop and validate machine learning models for predicting phenotypic traits from genomic data using algorithms such as ridge regression, LASSO, and random forests. They will work with real datasets to optimize model performance, evaluate cross-validation strategies, and compare traditional quantitative genetics approaches with modern ML techniques.

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