Due to these difficulties, the majority of prediction tools available for B cell epitopes are based on linear prediction methods.
For classification with multiple classes, the majority class prediction or a inconclusive value could be used.
As shown in Table 2, the total accuracy is 75.31%, 78.19% and 76.49% for the SVM, KLR, PLR predictors in DP-Bind, respectively, and 77.98% for the majority consensus prediction of the three predictors.
True positive identifications, for instance highly conserved genes, are likely to be present throughout different evidence information, whereas false positive identifications are not expected to be simultaneously present in the majority of prediction results and can thus be filtered out.
In particular, we note that the HuMiTar's outputs cover almost all predictions of PicTar and majority of predictions of the other two methods.
Figure 3 demonstrates an overall comparison of model predictions and observed data, showing that the majority of predictions are within 3-fold of the data.
When we applied causal disease associations to predict new disease genes, the majority of predictions proposed for obesity, T1DM, and T2DM could be supported by references to scientific literature.
Second, this could also be the case for the 'slow' CM neurons in M1 (the majority), as predictions of precision are slower than first order predictions, as outlined above.
Furthermore, we removed EvoFold predictions that were shorter than 10 nucleotides because the vast majority of predictions that were less than 10 nucleotides were not likely to form a stable RNA secondary structure.
