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Analysis of “blind” or “left out” sets of subject sera samples using training a set composed of CABG patients versus control individuals.

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posted on 2020-08-05, 18:15 authored by James R. Hocker, Megan Lerner, Stan A. Lightfoot, Marvin D. Peyton, Jess L. Thompson, Subrato Deb, Mathew Reinersman, R. Jane Hanas, Russel G. Postier, Barish H. Edil, Harold M. Burkhart, Jay S. Hanas

(A) Training set of serum discrimination of CABG patients (triangles) from controls (circles) by % of CABG LOOCV classified mass peaks; one false negative is observed. (B) Non-serum sample discrimination observed when the two different sample groups in panel A are mixed together randomly followed by the same LOOCV mass peak analysis. (C) Assessing the ability of the training set in panel A to correctly discriminate a blinded group of ten samples; 9 out of 10 samples were correctly identified. (D) Receiver operator characteristic (ROC) curve analysis of LOOCV data in Fig 4 and Fig 5. ROC analysis exhibits high sensitivity (true positive rate) of the group binary comparisons in Fig 4 panel A and Fig 5 panel A, and the near random results for the inter-group sample randomizations in Fig 4 panel B and Fig 5 panel B; the horizontal line exhibits a complete random result.

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