A machine learning method for selection of genetic variants to increase prediction accuracy of type 2 diabetes mellitus using sequencing data
Volume: 13, Issue: 3, Pages: 261 - 281
Published: Apr 4, 2020
Abstract
Type 2 diabetes mellitus (T2DM) affects millions of people through its life‐altering complications. Worldwide, 3.4 million people die of diabetes annually. Studying the effect of genetic polymorphism on T2DM has been plagued by the available sample size. A 2016 Nature Reviews article summarized that the accuracy of predicting future type 2 diabetes from genetic polymorphism is very low at the population level. Innumerable associations between...
Paper Details
Title
A machine learning method for selection of genetic variants to increase prediction accuracy of type 2 diabetes mellitus using sequencing data
Published Date
Apr 4, 2020
Volume
13
Issue
3
Pages
261 - 281
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