Detrended cross-correlation coefficient: application to predict apoptosis protein subcellular localization

DOI10.1016/J.MBS.2016.09.019zbMath1352.92046OpenAlexW2530578124WikidataQ50566361 ScholiaQ50566361MaRDI QIDQ343065

San-Yang Liu, Yunyun Liang, Sheng-Li Zhang

Publication date: 21 November 2016

Published in: Mathematical Biosciences (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.mbs.2016.09.019

zbMATH Keywords

support vector machinedetrended cross-correlation coefficientposition-specific scoring matrixsubcellular localization

Mathematics Subject Classification ID

Biochemistry, molecular biology (92C40) Cell biology (92C37)

Uses Software

• PSI-BLAST
• BLAST

Cites Work

• Unnamed Item
• Prediction of Golgi-resident protein types using general form of Chou's pseudo-amino acid compositions: approaches with minimal redundancy maximal relevance feature selection
• A novel representation for apoptosis protein subcellular localization prediction using support vector machine
• Predicting membrane protein types by fusing composite protein sequence features into pseudo amino acid composition
• Predicting mycobacterial proteins subcellular locations by incorporating pseudo-average chemical shift into the general form of Chou's pseudo amino acid composition
• Prediction of the subcellular location of apoptosis proteins
• Prediction of apoptosis protein subcellular location using improved hybrid approach and pseudo-amino acid composition
• A protein structural classes prediction method based on PSI-BLAST profile

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