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BioXNet: a biologically inspired neural network for deciphering anti-cancer drug response in precision medicine

2024-01-31

Abstract excerpt

Accurate prediction of anti-cancer drug responses in preclinical and clinical studies is crucial for drug discovery and personalized medicine. While machine learning models have demonstrated promising prediction accuracy in this task, their translational value in cancer therapy is constrained by the lack of model interpretability and insufficient patients’ data with genomic profiles to calibrate models. The rich c...

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Literature Corpus work
4df538d8-bb7e-5a20-b66f-673aaae92a47
DOI
10.1101/2024.01.29.576766
Open publication

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BioXNet: a biologically inspired neural network for deciphering anti-cancer drug response in precision medicineDOI 10.1101/2024.01.29.576766
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