Machine learning on multiple epigenetic features reveals H3K27Ac as a driver of gene expression prediction across patients with glioblastoma
Fig 2
Patient datasets representation after preprocessing.
The figure depicts the standardized epigenetic marker values per gene for a patient. It highlights the 3-dimensional arrangement of the datasets prior to model input. Here the X axis corresponds to the 50 bins of 100 bp counts for each feature. The Y axis represents each gene’s 4 epigenetic features. The figure’s Z axis is representative of the gene arrangement in the dataset.