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Fig. 2 | BioData Mining

Fig. 2

From: Antibody selection strategies and their impact in predicting clinical malaria based on multi-sera data

Fig. 2

Parametric antibody selection. The different steps of the analysis are displayed on the workflow using distinct colored shapes. Blue color identifies the beginning of the pipeline where the normality assumption is verified after Box−Cox transformation. Green refers to the calculation of the t−test statistic for those antibodies for which the normality assumption was verified. Light orange refers to the implementation of the finite mixture models to those antibodies or which normality assumption failed and implementation of the different tests as according to the best fitted model, or failure to do so. Dark orange refers to the assessment of the statistical significance after controlling for the FDR with the Benjamini−Yekutieli procedure and red to the implementation of the Super Learner and computation of the classification probability. Additional information is provided by the faded light orange and red colored shapes

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