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A biologically annotated neural network for proteomic discovery in Parkinson’s disease

2026-04-30

Abstract excerpt

<h4> A bstract </h4> Machine learning models that can utilize high-dimensional data to make predictions and derive biological insights can improve understanding of diseases. Here, we develop a biologically annotated neural network model for proteomics data (P-BANN) which has several practical advantages: (1) it incorporates known relationships between proteins and signaling pathways into its architecture design...

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Literature Corpus work
814293f8-45a2-53ad-a36e-c8d5d9a76caf
DOI
10.64898/2026.04.29.26351681
Open publication

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A biologically annotated neural network for proteomic discovery in Parkinson’s diseaseDOI 10.64898/2026.04.29.26351681
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