Article

Machine learning methods applied to genotyping data capture interactions between single nucleotide variants in late onset Alzheimer’s disease

2021-09-03

Abstract excerpt

<h4>INTRODUCTION</h4> Genome-wide association studies (GWAS) in late onset Alzheimer’s disease (LOAD) provide lists of individual genetic determinants. However, GWAS are not good at capturing the synergistic effects among multiple genetic variants and lack good specificity. <h4>METHODS</h4> We applied tree-based machine learning algorithms (MLs) to discriminate LOAD (> 700 individuals) and age-matched unaffected s...

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Literature Corpus work: 450567f3-8e6c-592b-a2e7-6905cad0fad8
DOI: 10.1101/2021.08.30.21262815

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