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Statistical Methods for Multivariate Genetic Analysis

  • Author(s): Ji, Soo Min
  • Advisor(s): Zhou, Hua;
  • Lange, Kenneth L.
  • et al.
Abstract

This dissertation develops statistical and computational methods for human genetics. We consider modern solutions to estimate the power of proposed genetic studies, and propose an alternative to the mixed model framework for analysis on non-Gaussian distributions. The methods we develop are designed for multivariate simulation and analysis in high dimensions. We implement our methods in individual, open-sourced Julia packages. They are freely available to the scientific community through the OpenMendel platform.

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