Table S13 from The Spatial Structure of the Tumor Immune Microenvironment Can Explain and Predict Patient Response in High-Grade Serous Carcinoma

作者：Lucy B. Van Kleunen, Mansooreh Ahmadian, Miriam D. Post, Rebecca J. Wolsky, Christian Rickert, Kimberly R. Jordan, Junxiao Hu, Jennifer K. Richer, Lindsay W. Brubaker, Nicole A. Marjon, Kian Behbakht, Matthew J. Sikora, Benjamin G. Bitler, Aaron Clauset · 年份：2026 · DOI：10.1158/2326-6066.32703317 · 研究领域：Cancer Immunotherapy and Biomarkers、Radiomics and Machine Learning in Medical Imaging、AI in cancer detection

<p>Table S13. Random forest predictive performance results for only primary tumor samples. Full results for all random forest models using 15 different feature sets, trained on only primary tumor samples (<i>n</i> = 69). Mean and standard deviation AUC results across 500 evaluations are reported for both OS and PFS.</p>