Article

Improving the Interpretability of Random Forest Models of Genetic Association in the Presence of Non-Additive Interactions

2020-05-21

Abstract excerpt

<title>Abstract</title> <p><bold>Background </bold>Non-additive interactions among genes are frequently associated with a number of phenotypes, including known complex diseases such as Alzheimer’s, diabetes, and cardiovascular disease. Detecting interactions requires careful selection of analytical methods, and some machine learning algorithms are unable or underpowered to detect or model feature interactions tha...

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Literature Corpus work: 3a19013f-584f-50dc-9b27-992cbce9aa57
DOI: 10.21203/rs.3.rs-29752/v1

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