PCA methods for examining latent genetic associations

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Journal Title

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Volume Title

Perustieteiden korkeakoulu | Bachelor's thesis
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Date

2022-04-15

Department

Major/Subject

Data Science

Mcode

SCI3095

Degree programme

Aalto Bachelor’s Programme in Science and Technology

Language

en

Pages

28+8

Series

Description

Supervisor

Käpylä, Maarit

Thesis advisor

Wharrie, Sophie

Keywords

PCA, GWAS, phenotype, genetic

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