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ICMLA
2008

Target Selection: A New Learning Paradigm and Its Application to Genetic Association Studies

9 years 24 days ago
Target Selection: A New Learning Paradigm and Its Application to Genetic Association Studies
In this work, a new learning paradigm called target selection is proposed, which can be used to test for associations between a single genetic variable and a multidimensional, quantitative phenotype. In target selection, the task of a learning machine is to chose one out of several nominal target variables, as well as a probabilistic classification function for the selected target. For this new paradigm, a cost function is derived from the concept of mutual information and a learning algorithm is suggested. The significance of the generalization performance of the model learned using target selection is tested using a label permutation test. Here, the proposed target selection paradigm is applied to a genomic imaging study.
Johannes Mohr, Sambu Seo, Imke Puis, Andreas Heinz
Added 29 Oct 2010
Updated 29 Oct 2010
Type Conference
Year 2008
Where ICMLA
Authors Johannes Mohr, Sambu Seo, Imke Puis, Andreas Heinz, Klaus Obermayer
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