Additional file 1 of Are we there yet? A machine learning architecture to predict organotropic metastases

Additional file 1. MOT data tables. Table S1: Tumor vs. Normal metrics: For six tumor types we show the model can detect tumor vs. normal transcriptomic expression profiles. Table S2: Site Specific classification: Site specific metastatic classification metrics. Table S3: Positive and Negative metrics for T/N transcriptomes site specific metastases. Table S4: All binary classification confusion matrices. Table S5: Top 1K selected features for site specific metastases predictions. Table S6: Enriched GO IDs in organotropic metastases. Table S7: Intersection of overrepresented GO processes measured by Fisher’s exact test.