[KSCI] Korea Science Citation Index Service

http://dx.doi.org/10.5483/BMBRep.2010.43.10.670

A novel method for predicting protein subcellular localization based on pseudo amino acid composition

Ma, Junwei (School of Control Science and Engineering, Dalian University of Technology)
Gu, Hong (School of Control Science and Engineering, Dalian University of Technology)

Publication Information

BMB Reports / v.43, no.10, 2010 , pp. 670-676 More about this Journal

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.

Keywords

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

Citations & Related Records

Times Cited By KSCI : 1 (Citation Analysis)
Times Cited By Web Of Science : 2 (Related Records In Web of Science)
Times Cited By SCOPUS : 3

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