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Patient-level proteomic network prediction by explainable artificial intelligence

Medicine and Health

Patient-level proteomic network prediction by explainable artificial intelligence

P. Keyl, M. Bockmayr, et al.

This research introduces a groundbreaking explainable AI method, layer-wise relevance propagation (LRP), developed by Philipp Keyl and colleagues. It successfully infers patient-specific protein interaction networks from proteomic data, offering promising advancements in predictive diagnostics and personalized cancer treatment.... show more
Citation Metrics
Citations
32
Influential Citations
0
Reference Count
73
Citation by Year

Note: The citation metrics presented here have been sourced from Semantic Scholar and OpenAlex.

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