Fig. 6
From: Identifying common transcriptome signatures of cancer by interpreting deep learning models
A Overlap between genes with high positive (red set) or negative (blue set) attribution values and genes with splice junctions that have high attribution values (light red set) with the list of genes overlapping between sets. B Enrichment map showing GO terms related to biological processes that are enriched among protein-coding genes with high negative (protein-coding negative, blue) or positive (protein-coding positive, red) attributions by expression, genes with high-attribution splice junctions (splice junctions, light red), or enriched both in protein-coding positive and splice junction genes (protein-coding positive and splice junctions, dark red). Each node is a GO term and the color of the nodes corresponds to gene sets in which they are enriched. The thickness of edges corresponds to the number of genes in common between GO terms. C Heatmap of terms obtained from an Ingenuity Pathway Analysis (QIAGEN) for molecular and cellular functions. D Gene set enrichment analysis on high-attribution protein-coding genes by expression showing an enrichment in KRAS signaling among negative attribution genes. High-attribution genes were ranked on the x-axis from high positive (left, red) to high negative attribution (right, blue)