Fig. 4
From: Are we there yet? A machine learning architecture to predict organotropic metastases
Simulated and observed overrepresented GO biological processes. Gene set enrichment analysis was conducted using the clusterProfiler package in R. The Go ontology database was used to investigate feature enrichment in Biological Processes for each metastatic location in each cancer type that was classified by the model. The upsest plots were generated using the UPsetR package. The bars represent the GO IDs with an adjusted p value < 0.05 after Bonferroni correction. A Simulated enrichment of randomly selected transcript features overrepresented in GO. B Enriched processes in Bone metastases. C Enriched processes in Liver metastases. D Enriched processes in Lung metastases. E Enriched processes in Lymph Node metastases. Statistical significance and GO:ID enrichment results included in Additional file 1: data tables