Regularized Machine Learning in the Genetic Prediction of Complex Traits

[...]we discuss some key future advances, open questions and challenges in this developing field, when moving toward low-frequency variants and cross-phenotype interactions. Multivariate modeling approaches have already been shown to provide improved insights into genetic mechanisms and the intera...

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Bibliographic Details
Published in:	PLoS genetics Vol. 10; no. 11; p. e1004754
Main Authors:	Okser, Sebastian, Pahikkala, Tapio, Airola, Antti, Salakoski, Tapio, Ripatti, Samuli, Aittokallio, Tero
Format:	Journal Article
Language:	English
Published:	United States Public Library of Science 01.11.2014 Public Library of Science (PLoS)
Subjects:	Artificial Intelligence Biology and Life Sciences Cardiovascular disease Computer and Information Sciences Datasets Genetic Association Studies Genetic research Genome-Wide Association Study Genomes Genotype & phenotype Health risk assessment Humans Machine learning Medicine and Health Sciences Models, Statistical Physical Sciences Quantitative trait loci Review
ISSN:	1553-7404, 1553-7390, 1553-7404
Online Access:	Get full text
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