Anticancer drug response prediction integrating multi-omics pathway-based difference features and multiple deep learning techniques
Fig 3
Overall analysis of pathway attention weights (A) Waterfall chart showing the ranking of average attention scores across all pathways.
The red portion is used to differentiate the top 20% of pathways. The bar plot displays the 9 pathways most closely related to cancer development and progression among the top 20%. (B) Pathway attention scores are divided into five groups by proportion. The red box plot shows the distribution of pathway attention scores in each group, and the blue triangles indicate the proportion of pathways closely related to cancer development and progression. (C) Hierarchical clustering result of pathway attention scores, with many pathways of the same or similar cancer types clustered together. (D) Waterfall chart showing the distribution of the ranking of the targeted pathway of the drug Erlotinib among all pathway scores.