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Association mapping and prediction of complex structured phenotypes

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If you have a question about this talk, please contact Emli-Mari Nel.

The goal of genetic association studies is to relate polymorphic genetic loci with quantitative traits that capture phenotypic variation.This task is well studied for a univariate or multiple independent trait variables. However, modern high-dimensional phentoypes often exhibit structure, which needs to be accounted for. In this talk I will discuss learning techniques that explicitly address this structure and allow for improved mapping and prediction of such phenotypic traits.

http://www.kyb.mpg.de/de/~stegle

The discussion includes methods to account for confounding factors and phenotypes that are recorded as a time series. Applications include the prediction of the depression state of patients over the course of a treatment.

This talk is part of the Inference Group series.

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