Machine learning on multiple epigenetic features reveals H3K27Ac as a driver of gene expression prediction across patients with glioblastoma
Fig 4
PCC cross-patient regression model results.
Our experimental results are compiled as the mean PCC scores over 10 runs of each model. The error bars shown indicate standard deviation of the model results. Our cross-patient XGBoost-based regression model performed higher than all other architectures when training with GSC1 and testing with GSC2 (GSC1 → GSC2).