Article

A comparison of methods for interpreting random forest models of genetic association in the presence of non-additive interactions.

2021-01-15

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 th...

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Literature Corpus work: a2b938a7-3538-511a-8bf8-4a6bafd963ae
DOI: 10.21203/rs.3.rs-45186/v3

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