An efficient technique for protein sequence clustering and classification

Abstract

A technique to reduce time and space during protein sequence clustering and classification is presented. During training and testing phase, the similarity score value between a pair of sequences is determined by selecting a portion of the sequence instead of the entire sequence. It is like selecting a subset of features for sequence data sets. The… (More)
DOI: 10.1109/ICPR.2004.1334254

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