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ADEMA: An Algorithm to Determine Expected Metabolite Level Alterations Using Mutual Information

Figure 9

Classification performance for ADEMA on 3 in vivo datasets.

Accuracy, Precision, Recall and F-measure results are shown for datasets S1, S2, and S3. The accuracy of the classifier is significant for all datasets (two-tailed Fisher's exact test).

Figure 9

doi: https://doi.org/10.1371/journal.pcbi.1002859.g009