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. 2011 Aug 11;6(8):e23581. doi: 10.1371/journal.pone.0023581

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Ugolin et al.

This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.

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Testing tumors (sporadic PTCs, PTC18, PTC19 and PTC25 and post-Chernobyl PTC, S404) (dot) classification considering all eigenvectors (validation space) in the RMS computation. Scatter plot of RMS_sporadic ^matrix as a function of the RMS_chernobyl ^matrix for the learning tumors and the RMS_sporadic ^class as a function of the RMS_chernobyl ^class of the considered testing tumor. The RMS values of the training tumors fall into two distinct groups (sporadic PTC, triangle and post-Chernobyl PTC, square). A, B, C: examples of correctly classified tumors, PTC25, S404 and PTC19, respectively. D: outlier classification of the PTC18 tumor.