Identification of protein subcellular localization via integrating evolutionary and physicochemical information into Chou's general PseAAC
type: Item
instance of: scholarly article
title: Identification of protein subcellular localization via integrating evolutionary and physicochemical information into Chou's general PseAAC
zbMATH Open document ID: 1406.92212
author: Yinan Shen
author: Jijun Tang
author: Fei Guo
published in: Journal of Theoretical Biology
publication date: 2019-02-05T00:00:00Z
Mathematics Subject Classification ID: 92C40
Mathematics Subject Classification ID: 68T05
Mathematics Subject Classification ID: 92C37
zbMATH DE Number: 7012693
zbMATH Keywords: protein subcellular localization
zbMATH Keywords: physicochemical
zbMATH Keywords: PSSM
zbMATH Keywords: multi-kernel SVM
describes a project that uses: ML-KNN
describes a project that uses: iLoc-Hum
describes a project that uses: iLoc-Animal
describes a project that uses: pLoc-mEuk
describes a project that uses: pLoc-mPlant
describes a project that uses: pLoc-mGneg
describes a project that uses: Euk-mPLoc
describes a project that uses: Hum-mPLoc
describes a project that uses: Quokka
describes a project that uses: pLoc-mHum
describes a project that uses: iLoc-Euk
describes a project that uses: Plant-mPLoc
describes a project that uses: iFeature
describes a project that uses: iLoc-lncRNA
describes a project that uses: pLoc-mVirus
describes a project that uses: iLoc-Plant
describes a project that uses: Cell-PLoc
describes a project that uses: MultiP-SChlo
describes a project that uses: iLoc-Virus
describes a project that uses: iLoc-Gpos
describes a project that uses: pLoc-mAnimal
describes a project that uses: iATC-mHyb
describes a project that uses: iKcr-PseEns
describes a project that uses: Gpos-mPLoc
describes a project that uses: Gneg-mPLoc
MaRDI profile type: Publication
full work available at URL: j.jtbi.2018.11.012
OpenAlex ID: W2900490197
Wikidata QID: Q93212963
cites work: Some remarks on protein attribute prediction and pseudo amino acid composition
cites work: Q5405146
cites work: Predicting Gram-positive bacterial protein subcellular localization based on localization motifs
cites work: Multiple kernel clustering based on centered kernel alignment
cites work: Gneg-mPLoc: a top-down strategy to enhance the quality of predicting subcellular localization of Gram-negative bacterial proteins
cites work: \textbf{iLoc-Virus}: a multi-label learning classifier for identifying the subcellular localization of virus proteins with both single and multiple sites
cites work: ML-KNN: A lazy learning approach to multi-label learning
DOI: 10.1016/J.JTBI.2018.11.012
description: scientific article; zbMATH DE number 7012693