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PCGS: biomarker and risk group identification for Pediatric Cancers via explainable Graph neural networks with Shapley values

Shi, Z. et al.
bioRxiv / medRxiv · Papers · License: CC BY 4.0
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health-informatics
Improvements in data availability, sharing, and integration, together with the development of explainable artificial intelligence (XAI) techniques, are advancing precision medicine for pediatric cancer by facilitating diagnosis, biomarker discovery, and drug development. Data sharing commons and ini
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