Machine learning models of plasma proteomic data predict mood in chronic stroke and tie it to aberrant peripheral immune responses
基于血浆蛋白质组学数据的机器学习模型可预测慢性卒中患者的情绪,并将其与异常的外周免疫反应联系起来。
期刊:Brain Behavior and Immunity
影响因子:7.6
doi:10.1016/j.bbi.2023.08.002
Bidoki, Neda H; Zera, Kristy A; Nassar, Huda; Drag, Lauren L; Mlynash, Michael; Osborn, Elizabeth; Musabbir, Muhith; Kim, Da Eun; Paula Mendez, Maria; Lansberg, Maarten G; Aghaeepour, Nima; Buckwalter, Marion S