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In this study, we propose a Semi-Supervised Support Vector Machine (S3VM) based incorporation prior biological knowledge for recognizing translation initiation sites (TISs). The task of finding TIS can be modeled as a classification problem. S3VM builds a SVM classifier based on small amounts of labeled data and large amounts of unlabeled data, incorporates(More)
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