An Effective Data Mining Technique for Classifying Unaligned Protein Sequences into Functional Families

Abstract

To classify proteins into functional families based on their primary sequences, existing classification algorithms such as the k-NN, HMM and SVM-based algorithms are often used. For most of these algorithms to perform their tasks, protein sequences need to be properly aligned first. Since the alignment process is error-prone, protein classification may not… (More)
DOI: 10.1109/CIT.2006.41

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