Deciphering BRCAness Phenotype in Cancer: A Graph Convolutional Neural Network Approach with Layer-wise Relevance Propagation Analysis
Jingyu Yang, Hryhorii Chereda, Jürgen Dönitz, Annalen Bleckmann, Tim Beißbarth
The paper uses graph convolutional neural networks with layer-wise relevance propagation to analyze gene expression data and identify genes and pathways associated with BRCAness, outperforming traditional methods.
bioRxiv · Jun 26, 2024 · PreprintBioinformatics