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Variance components model
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Classroom Contents
Machine Learning for Biobank-Scale Genomic Data - CGSI 2022
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- 1 Intro
- 2 Machine learning for genomic data
- 3 Growth of Biobanks
- 4 Key inference problems
- 5 Genetic architecture of complex traits
- 6 Variance components model
- 7 Estimating variance components
- 8 Alternate estimator Method of Moments (HE-regression)
- 9 Randomized HE-regression (RHE) Work with a "sketch" of the genotype
- 10 RHE is accurate and scalable
- 11 Insights from applying RHE to UK Biobank
- 12 Dominance deviation effects
- 13 Dominance deviance effects
- 14 Gene-environment interactions (GxE)
- 15 Gene-gene interactions (GxG)
- 16 Beyond pair-wise effects
- 17 Random Fourier Features (RFF)
- 18 Missing data in Biobanks
