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APOGEE 2: multi-layer machine-learning model for the interpretable prediction of mitochondrial missense variants

2023-06-20

Abstract excerpt

<h4>ABSTRACT</h4> APOGEE 2 is a mitochondrially-centered ensemble method designed to improve the accuracy of pathogenicity predictions for interpreting missense mitochondrial variants. Built on the joint consensus recommendations by the American College of Medical Genetics and Genomics/Association for Molecular Pathology (ACMG/AMP), APOGEE 2 features an improved machine learning method and a curated training set...

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Literature Corpus work
9e99f7cd-1714-5041-bf39-cc1f6231da23
DOI
10.1101/2023.06.18.545476
Open publication

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APOGEE 2: multi-layer machine-learning model for the interpretable prediction of mitochondrial missense variantsDOI 10.1101/2023.06.18.545476
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