Supplementary Tables from Predicting Molecular Phenotypes from Histopathology Images: A Transcriptome-Wide Expression–Morphology Analysis in Breast Cancer
crossref(2023)
Online-only supplementary tables: Table S1. Clinicopathological characteristics of patients per cohort. Table S2. ST gene panel. Table S3. The list of features used in the neural network based classification. Table S4. Results of pre-study hyperparameter tunning on 5 genes. Table S5. Prediction performance for the 1011 genes on validation and test sets. Table S6. Prediction performance for transcripts from established biomarker panels. Table S7. Correlation of gene expression with ER status (internal test set). Table S8. Correlation of gene expression with ER status (external test set). Table S9. Enriched pathways for genes cannot be predicted (Reactome gene sets). Table S10. Enriched pathways for genes cannot be predicted (Hallmark gene sets). Table S11. List of proliferation genes.