Additional file 2 of Differentiation between descending thoracic aortic diseases using machine learning and plasma proteomic signatures
收藏Figshare2024-08-15 更新2026-04-08 收录
下载链接：
https://springernature.figshare.com/articles/dataset/Additional_file_2_of_Differentiation_between_descending_thoracic_aortic_diseases_using_machine_learning_and_plasma_proteomic_signatures/26728768/1
下载链接
链接失效反馈官方服务：
资源简介：
Supplementary material 2: Table S1. 111 representative cluster proteins and all the correlated proteins within each cluster; the 111 representative proteins were used as inputs to the highest performing model classifying between diseases.
提供机构：
Kreimer, Simion; Guo, Dongchuan; Chyu, Kuang-Yuh; Berman, Daniel; Meyer, Jesse G.; Parker, Sarah; Momenzadeh, Amanda; Ayres, Matthew; Milewicz, Dianna; Shah, Prediman K.; Azizzadeh, Ali
创建时间：
2024-08-15
