Figure 5
From: Forecasting risk gene discovery in autism with machine learning and genome-scale data
Clustering of genes highlighted by forecASD into distinct modules. Greedy hierarchical optimization of the modularity score yielded 17 clusters consisting of 1,452 forecASD genes (a). All clusters have several significantly enriched biological pathways, of which the top terms were labeled. Clusters were tested for significance of overlap with the list of SFARI HC genes (b), and enrichment of haploinsufficiency genes (pLI > 0.5; c).
