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Indexed by:期刊论文

Date of Publication:2010-10-31

Journal:BMB REPORTS

Included Journals:SCIE、PubMed、Scopus

Volume:43

Issue:10

Page Number:670-676

ISSN No.:1976-6696

Key Words:Elman neural network; Five-fold cross validation; Principal component analysis; Protein subcellular localization; Pseudo amino acid composition

Abstract:In this paper, a novel approach, ELM-PCA, is introduced for the first time to predict protein subcellular localization. Firstly, Protein Samples are represented by the pseudo amino acid composition (PseAAC). Secondly, the principal component analysis (PCA) is employed to extract essential features. Finally, the Elman Recurrent Neural Network (RNN) is used as a classifier to identify the protein sequences. The results demonstrate that the proposed approach is effective and practical. [BMB reports 2010; 43(10): 670-6761