Association of machine learning (ML)-derived histological features with transcriptomic molecular subtypes in advanced renal cell carcinoma (RCC) Meeting Abstract
| Authors: | Beig, N.; Nofallah, S.; McDermott, D. F.; Motzer, R. J.; Powles, T.; Rini, B. I.; Koeppen, H.; Banchereau, R.; Markey, M.; Finberg, I.; Singh, G.; Yu, L.; Egger, R.; Parmar, C.; Conway, J.; Hennek, S.; Ruderman, D.; Vilchez, S.; Huseni, M. A.; Giltnane, J. M. |
| Abstract Title: | Association of machine learning (ML)-derived histological features with transcriptomic molecular subtypes in advanced renal cell carcinoma (RCC) |
| Meeting Title: | 2024 ASCO Annual Meeting |
| Journal Title: | Journal of Clinical Oncology |
| Volume: | 42 |
| Issue: | 16 Suppl. |
| Meeting Dates: | 2024 May 31-Jun 4 |
| Meeting Location: | Chicago, IL |
| ISSN: | 0732-183X |
| Publisher: | American Society of Clinical Oncology |
| Date Published: | 2024-06-01 |
| Language: | English |
| ACCESSION: | WOS:001275557401165 |
| PROVIDER: | wos |
| DOI: | 10.1200/JCO.2024.42.16_suppl.4519 |
| Notes: | Meeting Abstract: 4519 -- Source: Wos |
