Detrended cross-correlation coefficient: application to predict apoptosis protein subcellular localization
type: Item
instance of: scholarly article
title: Detrended cross-correlation coefficient: application to predict apoptosis protein subcellular localization
zbMATH Open document ID: 1352.92046
author: Yunyun Liang
author: Sanyang Liu
author: Shengli Zhang
published in: Mathematical Biosciences
publication date: 2016-11-21T00:00:00Z
Mathematics Subject Classification ID: 92C37
Mathematics Subject Classification ID: 92C40
zbMATH DE Number: 6654846
zbMATH Keywords: subcellular localization
zbMATH Keywords: detrended cross-correlation coefficient
zbMATH Keywords: position-specific scoring matrix
zbMATH Keywords: support vector machine
describes a project that uses: PSI-BLAST
describes a project that uses: BLAST
MaRDI profile type: Publication
full work available at URL: j.mbs.2016.09.019
OpenAlex ID: W2530578124
Wikidata QID: Q50566361
cites work: Prediction of the subcellular location of apoptosis proteins
cites work: Prediction of apoptosis protein subcellular location using improved hybrid approach and pseudo-amino acid composition
cites work: A novel representation for apoptosis protein subcellular localization prediction using support vector machine
cites work: Q4856771
cites work: A protein structural classes prediction method based on PSI-BLAST profile
cites work: Predicting mycobacterial proteins subcellular locations by incorporating pseudo-average chemical shift into the general form of Chou's pseudo amino acid composition
cites work: Predicting membrane protein types by fusing composite protein sequence features into pseudo amino acid composition
cites work: Prediction of Golgi-resident protein types using general form of Chou's pseudo-amino acid compositions: approaches with minimal redundancy maximal relevance feature selection
DOI: 10.1016/J.MBS.2016.09.019
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description: scientific article; zbMATH DE number 6654846