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Oxford University Press (OUP), Bioinformatics, 12(30), p. i52-i59

DOI: 10.1093/bioinformatics/btu260

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Using association rule mining to determine promising secondary phenotyping hypotheses

Journal article published in 2014 by Anika Oellrich, Julius Jacobsen ORCID, Irene Papatheodorou, Damian Smedley
This paper is made freely available by the publisher.
This paper is made freely available by the publisher.

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Abstract

Motivation: Large-scale phenotyping projects such as the Sanger Mouse Genetics project are ongoing efforts to help identify the influences of genes and their modification on phenotypes. Gene–phenotype relations are crucial to the improvement of our understanding of human heritable diseases as well as the development of drugs. However, given that there are ∼20 000 genes in higher vertebrate genomes and the experimental verification of gene–phenotype relations requires a lot of resources, methods are needed that determine good candidates for testing.