Article

Deciphering BRCAness Phenotype in Cancer: A Graph Convolutional Neural Network Approach with Layer-wise Relevance Propagation Analysis

2024-06-29

Abstract excerpt

<h4>Background</h4> Cancer variability among patients underscores the need for personalized therapy based on genomic understanding. BRCAness, characterized by vulnerabilities similar to BRCA mutations, particularly in homologous recombination repair, shows potential sensitivity to DNA-damaging agents like PARP inhibitors, highlighting it’s clinical significance. <h4>Methods</h4> We employed Graph Convolutional N...

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Literature Corpus work: ee28c05f-6825-5095-8d0c-157fbe99b0fd
DOI: 10.1101/2024.06.26.600328

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