Correction: Tasci et al. RadWise: A Rank-Based Hybrid Feature Weighting and Selection Method for Proteomic Categorization of Chemoirradiation in Patients with Glioblastoma. Cancers 2023, 15, 2672

Abstract

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In the original publication [1], there was a mistake shown in Tables 1–8 and Figures 3–5 and 7 as published. The pre/post-categorization information of four patients in our proteomic dataset was incorrectly labeled, requiring the proteomic analysis to be repeated. We repeated our analyses depending on the newly constructed, corrected, and normalized dataset. The newly obtained results are given in the corrected Table 1, Table 2, Table 3, Table 4, Table 5, Table 6, Table 7 and Table 8 and Figure 3, Figure 4 and Figure 5 and Figure 7 below.

References

The repeat analysis has resulted in superior results as compared to the previous analysis with the best ACC% now 96.364, which was obtained with the Logistic Regression Model, and the minimum weight of 10. The selected number of features is now 8. Best Feature (Biomarker) Set is as follows: ‘K2C5’, ‘MIC-1’, ‘CSPG3’, ‘GFAP’, ‘STRATIFIN’, ‘Cystatin M’, ‘Keratin-1’ and ‘Proteinase-3’. All places in the manuscript text where the new results have resulted in a numerical change e.g., ACC, AUC, have been corrected to reflect the new findings in the updated tables. With this correction, the order of some references has been adjusted accordingly. The authors state that the scientific conclusions are unaffected. This correction was approved by the Academic Editor. The original publication has also been updated.