Population Stratification and Admixture Analysis

Genetics › Machine Learning Quantitative Genetics Research

Population Stratification and Admixture Analysis

Interns will develop clustering and dimensionality reduction pipelines using techniques such as PCA, t-SNE, and neural networks to characterize population genetic structure and admixture patterns. They will process whole-genome sequencing data and validate population assignments against demographic metadata.

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