
Machine Learning Maps the Genetic Code of a Renal cell carcinoma tumor thrombus
Researchers have identified a 13-gene signature that distinguishes aggressive kidney cancers that invade blood vessels from standard tumours. By applying machine learning to RNA sequencing data, this early-stage abstract offers a framework for predicting and mitigating dangerous vascular tumour extensions.
By Mao, Ramirez, Wang, Chowdery, Kaushik, Rodriguez
