Deep exploration of random forest model boosts the interpretability of machine learning studies of complicated immune responses and lung burden of nanoparticles

• DOI: 10.1126/sciadv.abf4130
• Publication Date: 2021-05-26T19:16:30Z
• Authors: Fubo Yu; Changhong Wei; Peng Deng; Ting Peng; Xiangang Hu
• Keywords: Interpretability

A proposed machine learning method capable of mining feature interactions reveals the mechanisms bio-nano interactions.