Best Biomarker Combination for Ovarian Cancer
نویسندگان
چکیده
Logistic regression is employed to search the optimal combination of multiple markers that can discriminate ovarian cancers from benign by Luminex assay test of the patient sera. To verify the selection performance, three other classification methods were also tested including t-test, genetic algorithm, and random forest. The chosen combinations from each of the four methods were evaluated again with three classification methods: logistic regression, linear discriminant analysis, and k-nearest neighbor. The results show that the combination of 4 markers found by logistic regression had the best average accuracy.
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