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SVM training process. The complete dataset generated by visual inspection was split into two parts, yielding a canonical training dataset of 3,802 samples and a canonical testing dataset of 3,802 samples, each consisting of an equal number of isoform and paralog instances. The canonical training dataset was again split into four subsets (denoted by numbers in circles) and submitted to the grid-search procedure. The resulting classifier was then tested on the canonical testing dataset.
