Julia Schirmacher

This study benchmarks graph neural networks for cancer subtyping using methylation and gene expression data, finding that ChebNet performs best and simple readout layers improve performance.

CoCoPyE improves the prediction of genome quality indices by using a two-stage feature extraction and machine learning approach, outperforming existing tools in simulations.