Article

Using Topic Modeling via Non-negative Matrix Factorization to Identify Relationships between Genetic Variants and Disease Phenotypes: A Case Study of Lipoprotein(a) ( <i>LPA</i> )

2018-05-31

Abstract excerpt

Genome-wide and phenome-wide association studies are commonly used to identify important relationships between genetic variants and phenotypes. Most of these studies have treated diseases as independent variables and suffered from heavy multiple adjustment burdens due to the large number of genetic variants and disease phenotypes. In this study, we propose using topic modeling via non-negative matrix factorization...

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Literature Corpus work: 0ae4ca59-d977-5100-bf79-9f70f8506071
DOI: 10.1101/335745

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