Article

Prior knowledge informs graph neural networks to improve phenotype prediction from proteomics

2025-11-25

Abstract excerpt

High-throughput proteomics data provides dense individual-level molecular readouts, enabling the development of machine learning models for predicting diverse phenotypes relevant to patient health. Proteins interact in the cell in complex, nonlinear relationships that may not be reflected by linear models or simple machine learning approaches, highlighting the potential for more expressive deep neural networks to...

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Literature Corpus work: 95e3a131-be29-580d-a79e-fe957d855111
DOI: 10.1101/2025.11.23.25340814

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