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Table 2 provides an example of the classification.
Ontology A (A.obo, see Figure 3 and Additional file 1: A.obo) is an example of the classification regarding functional groups such as ethers while ontology B (B.obo, see Figure 4 and Additional file 2: B.obo) represents the expert knowledge of more complex class definitions like androstanes and pregnanes.
An example of the classification model obtained for a representative subject for the entire trial duration of 700 ms is shown in Figure 4.
An example of the classification of abiotic stress-related QTLs on chromosome 12 is shown in Supplementary Figure S5.
See additional file 1 for an example of the classification provided for the catalase class and subclasses.
Details on the classification strategy are given in Supplementary Methods and a small example of the classification process is shown in Supplementary Information (Additional file 12: Figure S7).
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At the moment, we use a subset of to classify groups of pixels as static objects, but we used the second form in order to provide some examples of the classification states obtained.
Additional file 1: Examples of the classification of substandard factors.
Hence, we designated the positive and negative examples of the classification problem as the stabilising (ΔΔ G u ≥ 0) and destabilising (ΔΔ G u < 0) mutations, respectively.
The list of Read Codes and associated terms relating to the knee, and those relating to generalised or widespread problems, are given as examples of the classification in additional file 1.
The following describes a particular example of how the classification was performed: if a pig was shedding at a specific testing time, it was considered infectious in the nearest bi-weekly time step, until it became bacteriologically negative, after which it was considered a carrier (in the nearest bi-weekly time step).
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