Machine learning on multiple epigenetic features reveals H3K27Ac as a driver of gene expression prediction across patients with glioblastoma
Fig 9
An analysis of H3K27Ac standardized counts visualizes the similarities in signal shape contrasted by the variations at peaks.
H3K27Ac counts of all the GSC datasets around TSS are visualized at bin levels. A) Visualizing H3K27Ac signals for all genes, regardless of their RNA-seq values. All these GSCs have similar H3K27Ac epigenetic landscapes with two distinct peaks B) H3K27Ac signals for “high” expressing genes (log2(RNA-seq values) ≥ 10) C) H3K27Ac signals for “low” expressing genes (0log2(RNA-seq values)
5).