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Discovering genetic biomarkers for targeted cancer therapeutics with eXplainable AI

2023-07-26

Abstract excerpt

Explainable Artificial Intelligence (XAI) enables a holistic understanding of the complex and nonlinear relationships between genes and prognostic outcomes of cancer patients. In this study, we focus on a distinct aspect of XAI – to generate accurate and biologically relevant hypotheses and provide a shorter and more creative path to advance medical research. We present an XAI-driven approach to discover otherwise...

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Literature Corpus work
fe2839da-bf8e-56d7-9921-0b915e6a0624
DOI
10.1101/2023.07.24.550346
Open publication

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Discovering genetic biomarkers for targeted cancer therapeutics with eXplainable AIDOI 10.1101/2023.07.24.550346
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