Supplementary Table S2 from Deep Learning Predicts Subtype Heterogeneity and Outcomes in Luminal A Breast Cancer Using Routinely Stained Whole-Slide Images
Year: 2025
Type: supplementary-materials
Abstract: Supplementary Table S2. Clinical and molecular features of PAM50 Luminal A breast cancers in the independent test set (n = 230) according to degree of adherence of transcriptomic profile to the LumA subtype by semi-supervised noon-negative matrix factorization (ssNMF).
Language: English
Topic: AI in cancer detection
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: gold
OpenAlex ID: W4410345520