Influence of Feature Encoding and Choice of Classifier on Disease Risk Prediction in Genome-Wide Association Studies

Various attempts have been made to predict the individual disease risk based on genotype data from genome-wide association studies (GWAS). However, most studies only investigated one or two classification algorithms and feature encoding schemes. In this study, we applied seven different classificati...

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Detalles Bibliográficos
Autores principales: Mittag, Florian, Römer, Michael, Zell, Andreas
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2015
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4540285/
https://www.ncbi.nlm.nih.gov/pubmed/26285210
http://dx.doi.org/10.1371/journal.pone.0135832

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4540285/
https://www.ncbi.nlm.nih.gov/pubmed/26285210
http://dx.doi.org/10.1371/journal.pone.0135832

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