SCS Undergraduate Thesis Topics

Dae Gun Won Eric Xing Inference of Population Structure with Optimal Number of Ancestral Groups

In this project I study the problem of population structure inference using multi-locus genotype data. Traditional methods for inferring population structure such as Structure program or mStruct does not present a good way to optimize the number of ancestral population groups by including the number in the model and inferring from the model itself. Therefore I aim to present a model that will have the ability to infer the optimal number intrinsically. So far studying the previous works, implementing parts of them, and coming up with new model have been done. For the rest of the semester I plan on finishing implementations including the new model and coming up with an inference method for the model.

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