Prediction of Golgi-resident protein types using general form of Chou's pseudo-amino acid compositions: approaches with minimal redundancy maximal relevance feature selection
type: Item
instance of: scholarly article
title: Prediction of Golgi-resident protein types using general form of Chou's pseudo-amino acid compositions: approaches with minimal redundancy maximal relevance feature selection
zbMATH Open document ID: 1343.92378
author: Ya-Sen Jiao
author: Pu-Feng Du
published in: Journal of Theoretical Biology
publication date: 2016-09-05T00:00:00Z
Mathematics Subject Classification ID: 92D20
Mathematics Subject Classification ID: 92C40
Mathematics Subject Classification ID: 92-04
zbMATH DE Number: 6623085
zbMATH Keywords: Golgi-resident proteins
zbMATH Keywords: mrmr
zbMATH Keywords: pseaac
zbMATH Keywords: PSPCP
zbMATH Keywords: feature selection
zbMATH Keywords: SVM
describes a project that uses: PredLactamase
describes a project that uses: Nuc-ploc
describes a project that uses: repDNA
describes a project that uses: iNuc-PseKNC
describes a project that uses: PseKNC-General
describes a project that uses: propy
describes a project that uses: PseAAC-Builder
describes a project that uses: Pse-in-One
describes a project that uses: iLoc-Animal
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describes a project that uses: SubChlo
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describes a project that uses: Prnam-PC
describes a project that uses: LIBSVM
describes a project that uses: PseAAC
describes a project that uses: Cell-PLoc
describes a project that uses: repRNA
describes a project that uses: PSI-BLAST
describes a project that uses: BLAST
describes a project that uses: iEnhancer-2L
describes a project that uses: iDrug-Target
describes a project that uses: iAMP-2L
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describes a project that uses: PseDNA-Pro
describes a project that uses: iMiRNA-PseDPC
describes a project that uses: iLoc-Gpos
describes a project that uses: iDNA-Methyl
MaRDI profile type: Publication
full work available at URL: j.jtbi.2016.04.032
OpenAlex ID: W2346037103
Wikidata QID: Q50651129
cites work: Classification of membrane protein types using voting feature interval in combination with Chou's pseudo amino acid composition
cites work: Some remarks on protein attribute prediction and pseudo amino acid composition
cites work: Gram-positive and Gram-negative protein subcellular localization by incorporating evolutionary-based descriptors into Chou's general PseAAC
cites work: SubChlo: predicting protein subchloroplast locations with pseudo-amino acid composition and the evidence-theoretic \(K\)-nearest neighbor (ET-KNN) algorithm
cites work: pSuc-Lys: predict lysine succinylation sites in proteins with PseAAC and ensemble random forest approach
cites work: Predicting Golgi-resident protein types using pseudo amino acid compositions: approaches with positional specific physicochemical properties
cites work: Prediction of \(\beta\)-lactamase and its class by Chou's pseudo-amino acid composition and support vector machine
cites work: Q4935997
cites work: \textbf{iLoc-Virus}: a multi-label learning classifier for identifying the subcellular localization of virus proteins with both single and multiple sites
DOI: 10.1016/J.JTBI.2016.04.032
description: scientific article; zbMATH DE number 6623085