Article
protPheMut: An Interpretable Machine Learning Tool for Classification of Cancer and Neurodevelopmental Disorders in Human Missense Variants
2025-01-07
Abstract excerpt
<h4>Motivation</h4> Recent advances in human genomics have revealed that missense mutations in a single protein can lead to distinctly different phenotypes. In particular, some mutations in oncoproteins like Ras, MEK, PI3K, PTEN, and SHP2 are linked various cancers and Neurodevelopmental Disorders (NDDs). While numerous tools exist for predicting the pathogenicity of missense mutations, linking these variants to...
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Identifiers and source
- Literature Corpus work
- b5c9d3ec-15ab-5695-ad01-382a4cb2f35a
- DOI
- 10.1101/2025.01.06.631365
