Population Structure Correction and Association Study Optimization

Plant Breeding Genetics › Machine Learning QTL Mapping Research

Population Structure Correction and Association Study Optimization

Interns will implement machine learning methods to correct for population stratification and kinship structure in genome-wide association studies (GWAS) for improved QTL mapping accuracy. They will develop and optimize algorithms to increase statistical power while reducing false positives in trait-marker associations.

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