Predicting membrane protein types by incorporating a novel feature set into Chou's general PseAAC
type: Item
instance of: scholarly article
title: Predicting membrane protein types by incorporating a novel feature set into Chou's general PseAAC
zbMATH Open document ID: 1406.92470
author: E. Siva Sankari
author: D. Manimegalai
published in: Journal of Theoretical Biology
publication date: 2019-01-31T00:00:00Z
Mathematics Subject Classification ID: 92D20
Mathematics Subject Classification ID: 92C37
Mathematics Subject Classification ID: 92C40
zbMATH DE Number: 7009185
zbMATH Keywords: decision tree classifier
zbMATH Keywords: exchange group local pattern
zbMATH Keywords: interval pattern
zbMATH Keywords: membrane protein types prediction
zbMATH Keywords: 2-gram exchange group
describes a project that uses: Memtype-2L
describes a project that uses: Pse-in-One
describes a project that uses: iPPBS-Opt
describes a project that uses: iSuc-PseOpt
describes a project that uses: iLoc-Hum
describes a project that uses: pLoc-mEuk
describes a project that uses: iRNA-PseColl
describes a project that uses: iRSpot-EL
describes a project that uses: pLoc-mGneg
describes a project that uses: pLoc-mPlant
describes a project that uses: iDNA6mA-PseKNC
describes a project that uses: 2L-piRNA
describes a project that uses: pLoc-mVirus
describes a project that uses: pSuc-Lys
describes a project that uses: PseKNC
describes a project that uses: PREvaIL
describes a project that uses: iPTM-mLys
describes a project that uses: pSumo-CD
describes a project that uses: pLoc-mHum
describes a project that uses: iDHS-EL
describes a project that uses: MemHyb
describes a project that uses: iEnhancer-2L
describes a project that uses: iAMP-2L
describes a project that uses: iPro54-PseKNC
describes a project that uses: iDrug-Target
describes a project that uses: Prnam-PC
describes a project that uses: pLoc-mAnimal
describes a project that uses: iATC-mHyb
describes a project that uses: iPromoter-2L
describes a project that uses: iProt-Sub
describes a project that uses: iRNA-3typeA
describes a project that uses: iRSpot-Pse6NC
MaRDI profile type: Publication
full work available at URL: j.jtbi.2018.07.032
OpenAlex ID: W2884824743
Wikidata QID: Q57467559
cites work: Classification of membrane protein types using voting feature interval in combination with Chou's pseudo amino acid composition
cites work: Predicting membrane protein type by functional domain composition and pseudo-amino acid composition
cites work: Predicting membrane protein types by incorporating protein topology, domains, signal peptides, and physicochemical properties into the general form of Chou's pseudo amino acid composition
cites work: Some remarks on protein attribute prediction and pseudo amino acid composition
cites work: A two-stage SVM method to predict membrane protein types by incorporating amino acid classifications and physicochemical properties into a general form of Chou's PseAAC
cites work: Predicting membrane protein types by fusing composite protein sequence features into pseudo amino acid composition
cites work: MemHyb: predicting membrane protein types by hybridizing SAAC and PSSM
cites work: pSuc-Lys: predict lysine succinylation sites in proteins with PseAAC and ensemble random forest approach
cites work: Application of density similarities to predict membrane protein types based on pseudo-amino acid composition
cites work: Prediction of membrane protein types from sequences and position-specific scoring matrices
cites work: Fuzzy KNN for predicting membrane protein types from pseudo-amino acid composition
cites work: SLLE for predicting membrane protein types
cites work: Using stacked generalization to predict membrane protein types based on pseudo-amino acid composition
cites work: Geometry preserving projections algorithm for predicting membrane protein types
DOI: 10.1016/J.JTBI.2018.07.032
description: scientific article; zbMATH DE number 7009185