Prediction of GABA\(_{\mathrm A}\) receptor proteins using the concept of Chou's pseudo-amino acid composition and support vector machine
type: Item
instance of: scholarly article
title: Prediction of GABA\(_{\mathrm A}\) receptor proteins using the concept of Chou's pseudo-amino acid composition and support vector machine
zbMATH Open document ID: 1397.92215
author: Hassan Mohabatkar
author: Abolghasem Esmaeili
author: Majid Mohammad-Beigi
published in: Journal of Theoretical Biology
publication date: 2018-09-21T00:00:00Z
Mathematics Subject Classification ID: 92C40
Mathematics Subject Classification ID: 92D20
Mathematics Subject Classification ID: 68T05
zbMATH DE Number: 6940980
zbMATH Keywords: bioinformatics
zbMATH Keywords: protein family classification
zbMATH Keywords: Matthew's correlation coefficient
zbMATH Keywords: minimum redundancy and maximum relevance
Wikidata QID: Q34181833
describes a project that uses: Quat-2L
describes a project that uses: SecretP
describes a project that uses: PseAAC
describes a project that uses: GPCR-CA
describes a project that uses: Euk-mPLoc
describes a project that uses: LIBSVM
describes a project that uses: Plant-mPLoc
MaRDI profile type: Publication
full work available at URL: j.jtbi.2011.04.017
OpenAlex ID: W2075176419
cites work: Using the concept of Chou's pseudo amino acid composition for risk type prediction of human papillomaviruses
cites work: The modified Mahalanobis discriminant for predicting outer membrane proteins by using Chou's pseudo amino acid composition
cites work: A novel feature representation method based on Chou's pseudo amino acid composition for protein structural class prediction
cites work: Q4856771
cites work: SecretP: identifying bacterial secreted proteins by fusing new features into Chou's pseudo-amino acid composition
cites work: Using the augmented Chou's pseudo amino acid composition for predicting protein submitochondria locations based on auto covariance approach
cites work: Using Chou's amphiphilic pseudo-amino acid composition and support vector machine for prediction of enzyme subfamily classes
DOI: 10.1016/J.JTBI.2011.04.017
description: scientific article; zbMATH DE number 6940980