Interpretable machine learning leverages proteomics to improve cardiovascular disease risk prediction and biomarker identification
| Title: | Interpretable machine learning leverages proteomics to improve cardiovascular disease risk prediction and biomarker identification |
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| Authors: | Climente-González, HéctorAff1, IDs43856025008720_cor1; Oh, MinAff2; Chajewska, UrszulaAff2; Hosseini, RoyaAff2; Mukherjee, SudiptoAff2; Gan, WeiAff1; Traylor, MatthewAff1; Hu, SileAff1; Fatemifar, GhazalehAff1; Ghouse, JonasAff3; Del Villar, Paul PangilinanAff2; Vernet, ErikAff3; Koelling, NilsAff1; Du, LiangAff2; Abraham, RobinAff2; Li, ChuanAff2, IDs43856025008720_cor2; Howson, Joanna M. M.Aff1 |
| Source: | Communications Medicine. 5(1) |
| Database: | Springer Nature Journals |