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For visual comparison, prediction results for databases I and II are shown in Figures 13 and 14, respectively.
This abstraction allows new computations with biological processes (comparison, prediction, etc).
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For comparison, predictions were also trained solely on peptide binding data (i.e. without considering HLA sequence information) and using conventional cross-validation (see Materials and Methods).
For this comparison predictions of the autogenous outside-in model are guided by previous work [ 2, 32].
We have embedded clustering, cataloguing, and cross searches for ligand-receptor pairs, for data visualization, similarity searching, structural comparisons, prediction of chemical properties, and compound clustering.
The interface allows browsing of the metabolic network, online computation of phenotype predictions, and comparison of predictions with experimental results [ 20].
Unsupervised hierarchical clustering, class comparison, class prediction, KEGG pathway enrichment, and survival prediction were performed with the BRBArrayTools software.
However, the comparison of prediction combination methods is unaffected since all combinations are based on the same single method predictions.
Figure 12 Comparison between prediction methods.
Fig. 8 Comparison of prediction results.
Table 10 The comparison between prediction results and experimental data.
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