Article

Knowledge Inclusive Machine Learning for Disease Gene Prioritisation

2026-05-02

Abstract excerpt

The predictive performance of machine learning models depends on the context available to them. In disease gene prioritisation, this context comprises two forms: specific context from sample-level experimental data, such as gene expression and protein–protein interaction networks, and general context from accumulated and curated biological knowledge capturing established relationships among genes, diseases, and pa...

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Literature Corpus work: bf99079e-96c0-5a4c-a5eb-19c106fbb041
DOI: 10.64898/2026.04.29.721522

Open publication

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