Explainable AI Model Reveals Informative Mutational Signatures for Cancer-Type Classification

Background/Objectives: The prediction of cancer types is primarily reliant on driver genes and their specific mutations. The advancement in novel omics technologies has led to the acquisition of additional genetic data. When integrated with artificial intelligence models, there is considerable poten...

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Bibliographic Details
Published in:	Cancers Vol. 17; no. 11; p. 1731
Main Authors:	Wagner, Jonas, Oldenburg, Jan, Nath, Neetika, Simm, Stefan
Format:	Journal Article
Language:	English
Published:	Switzerland MDPI AG 22.05.2025 MDPI
Subjects:	Accuracy Artificial intelligence Cancer Classification Datasets Diagnosis DNA methylation DNA repair Gene mutations Genes Genomes Genomics Localization Machine learning Neural networks Oncology, Experimental Patients Point mutation Predictions whole genome sequencing XAI cancer types mutational signatures driver genes informative mutational signatures
ISSN:	2072-6694, 2072-6694
Online Access:	Get full text
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