Heterogeneous Driving Effects Guide Personalized Tumor Treatments Targeting N6-Methyladenosine

A causal inference framework based on m6A modifications that quantifies driving effects and characterizes high-benefit tumor profiles offers an improved approach for guiding personalized tumor treatment decisions. This article is part of a special series: Driving Cancer Discoveries with Computational Research, Data Science, and Machine Learning/AI .