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(d) The concordance of VarCall fClass designations was determined for each of the other five predictive algorithms by comparing overlapping classification terms.
Solving overlapping classification problems using ANNs has been investigated extensively in the pattern recognition and machine-learning areas (Lovell and Bradley, 1996; Tang et al., 2010; Xiong et al., 2010).
Open image in new window Figure 4 The FT performance of different ANNs with six hidden-layer neurons in solving an overlapping classification problem.
Next, we examined the FT performance of the four ANNs in solving an overlapping classification problem (Fig. 4A) that is more complicated than an XOR problem.
The FIB-GA showed a slower fitting speed when solving the exclusive OR (XOR) problem and the overlapping classification problem, but it significantly reduced the errors in cases of single or multiple faults in ANN weights or nodes.
It is worth noting that, when solving an XOR problem or an overlapping classification problem with the continuous and differentiable basis function, the GE-GA does not offer an advantage over the BP and MW algorithms.
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Two separate (but partly overlapping) classifications were applied, as in the earlier studies.
CLI has several overlapping diagnostic classification systems.
Proteins belonging to each hub within a submodule can be further explored from an ontological perspective: a group of proteins can be located in one or more cellular component, be active in one or more biological processes, and perform one or more molecular functions, but since domain activity is shared by several (and overlapping) groups, classification using GO terms can become very complex.
For example, antisense tags that align to the 3' most CATG can arise from trans-transcription or by convergent cis-transcription of an antisense molecule with a transcription start site 3' to the end of the target gene (See Numata et al. [ 67] for sense-antisense transcript overlap classifications).
These included the particularly responsive and the barely/non-responsive tumours which highly overlapped among classifications.
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