Comparative performances of machine learning methods for classifying Crohn Disease patients using genome-wide genotyping data
Abstract
Crohn Disease (CD) is a complex genetic disorder for which more than 140 genes have been identified using genome wide association studies (GWAS). However, the genetic architecture of the trait remains largely unknown. The recent development of machine learning (ML) approaches incited us to apply them to classify healthy and diseased people according to their genomic information. The Immunochip dataset containing 18,227 CD patients and 34,050...
Paper Details
Title
Comparative performances of machine learning methods for classifying Crohn Disease patients using genome-wide genotyping data
Published Date
Jul 17, 2019
Journal
Volume
9
Issue
1
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