Analysis and prediction of ion channel inhibitors by using feature selection and Chou's general pseudo amino acid composition
type: Item
instance of: scholarly article
title: Analysis and prediction of ion channel inhibitors by using feature selection and Chou's general pseudo amino acid composition
zbMATH Open document ID: 1406.92198
author: Juan Mei
author: Yi Fu
author: Ji Zhao
published in: Journal of Theoretical Biology
publication date: 2019-01-31T00:00:00Z
Mathematics Subject Classification ID: 92C40
Mathematics Subject Classification ID: 62F40
Mathematics Subject Classification ID: 62P10
zbMATH DE Number: 7009215
zbMATH Keywords: random forest
zbMATH Keywords: jackknife test
zbMATH Keywords: feature selection
zbMATH Keywords: prediction performance
Wikidata QID: Q90740710
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describes a project that uses: LIBSVM
describes a project that uses: pSuc-Lys
describes a project that uses: iLoc-Euk
describes a project that uses: PseKNC
describes a project that uses: iRSpot-PseDNC
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Analysis and prediction of ion channel inhibitors by using feature selection and Chou's general pseudo amino acid composition (describes a project that uses)
describes a project that uses: iUbiq-Lys

Analysis and prediction of ion channel inhibitors by using feature selection and Chou's general pseudo amino acid composition (describes a project that uses)
describes a project that uses: iCDI-PseFpt

Analysis and prediction of ion channel inhibitors by using feature selection and Chou's general pseudo amino acid composition (MaRDI profile type)
MaRDI profile type: Publication

Analysis and prediction of ion channel inhibitors by using feature selection and Chou's general pseudo amino acid composition (full work available at URL)
full work available at URL: j.jtbi.2018.07.040

Analysis and prediction of ion channel inhibitors by using feature selection and Chou's general pseudo amino acid composition (OpenAlex ID)
OpenAlex ID: W2887397482

Analysis and prediction of ion channel inhibitors by using feature selection and Chou's general pseudo amino acid composition (cites work)
cites work: IMem-2LSAAC: a two-level model for discrimination of membrane proteins and their types by extending the notion of SAAC into Chou's pseudo amino acid composition

Analysis and prediction of ion channel inhibitors by using feature selection and Chou's general pseudo amino acid composition (cites work)
cites work: Random forests

Analysis and prediction of ion channel inhibitors by using feature selection and Chou's general pseudo amino acid composition (cites work)
cites work: Some remarks on protein attribute prediction and pseudo amino acid composition

Analysis and prediction of ion channel inhibitors by using feature selection and Chou's general pseudo amino acid composition (cites work)
cites work: pSuc-Lys: predict lysine succinylation sites in proteins with PseAAC and ensemble random forest approach

Analysis and prediction of ion channel inhibitors by using feature selection and Chou's general pseudo amino acid composition (cites work)
cites work: Use of Ranks in One-Criterion Variance Analysis

Analysis and prediction of ion channel inhibitors by using feature selection and Chou's general pseudo amino acid composition (cites work)
cites work: Sequence-based predictor of ATP-binding residues using random forest and mrmr-IFS feature selection

Analysis and prediction of ion channel inhibitors by using feature selection and Chou's general pseudo amino acid composition (cites work)
cites work: Predicting protein submitochondrial locations by incorporating the pseudo-position specific scoring matrix into the general Chou's pseudo-amino acid composition

Analysis and prediction of ion channel inhibitors by using feature selection and Chou's general pseudo amino acid composition (cites work)
cites work: Identifying 5-methylcytosine sites in RNA sequence using composite encoding feature into Chou's PseKNC

Analysis and prediction of ion channel inhibitors by using feature selection and Chou's general pseudo amino acid composition (cites work)
cites work: iCDI-PseFpt: identify the channel-drug interaction in cellular networking with PseAAC and molecular fingerprints

Analysis and prediction of ion channel inhibitors by using feature selection and Chou's general pseudo amino acid composition (cites work)
cites work: Prediction of protein subcellular localization with oversampling approach and Chou's general PseAAC

Analysis and prediction of ion channel inhibitors by using feature selection and Chou's general pseudo amino acid composition (DOI)
DOI: 10.1016/J.JTBI.2018.07.040

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