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Figure 4 | BMC Bioinformatics

Figure 4

From: On consensus biomarker selection

Figure 4

Method overview. The control flow through different phases of the proposed method: we start with a preprocessed MS dataset; apply several competing biomarker selection procedures (t-statistic, peak probability contrasts (PPC), mutual information and random forest feature ranking); achieve their consensus by the Markov chain rank aggregation method or PCA and train the classifiers (LDA, random forest, SVM, decision trees) on consensus features. For performance assessment the steps are repeated for each fold of the ten-fold cross-validation scheme.

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