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. 2021 Feb 9;33:153–165. doi: 10.1016/j.jare.2021.01.018

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© 2021 The Authors. Published by Elsevier B.V. on behalf of Cairo University. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).

This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

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Fig. 6 — A diagnostic model for differentiating HCC from normal (A-H) and dysplastic nodule (I-P) samples. A and C Confusion matrix of the binary results in the diagnostic model for distinguishing HCC and normal subjects. B and D ROC curves confirming the predictive accuracy of the diagnostic model. E and G Expression levels of SMG5 and MRPL9 in patients with HCC: distribution of the predicted results and actual results. F and H The correlation between the expression of SMG5 and MRPL9. I and K The specificity and sensitivity of the diagnostic model for distinguishing HCC lesions from dysplastic nodules. J and L ROC curves validating the predictive performance of the diagnostic model. M and O Expression characteristics of SMG5 and MRPL9 in patients with HCC: distribution of the predicted results and actual results. N and P Positive correlation of SMG5 and MRPL9 expression levels.