Additional file 2 of Differentiation between descending thoracic aortic diseases using machine learning and plasma proteomic signatures
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https://springernature.figshare.com/articles/dataset/Additional_file_2_of_Differentiation_between_descending_thoracic_aortic_diseases_using_machine_learning_and_plasma_proteomic_signatures/26728768
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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.
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figshare
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2024-08-15
