Naïve Bayes classifier with feature selection to identify phage virion proteins

DOI10.1155/2013/530696zbMath1275.92017OpenAlexW1976978745WikidataQ36898465 ScholiaQ36898465MaRDI QIDQ382613

Hui Ding, Hao Lin, Peng-Mian Feng, Wei Chen

Publication date: 21 November 2013

Published in: Computational \& Mathematical Methods in Medicine (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1155/2013/530696

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Biochemistry, molecular biology (92C40)

Related Items (7)

Chou's pseudo amino acid composition improves sequence-based antifreeze protein prediction ⋮ Transmission of intra-cellular genetic information: a system proposal ⋮ pSSbond-PseAAC: prediction of disulfide bonding sites by integration of PseAAC and statistical moments ⋮ SPrenylC-PseAAC: a sequence-based model developed via Chou's 5-steps rule and general PseAAC for identifying S-prenylation sites in proteins ⋮ iPHLoc-ES: identification of bacteriophage protein locations using evolutionary and structural features ⋮ Identification of hormone binding proteins based on machine learning methods ⋮ Prediction of \(\beta\)-lactamase and its class by Chou's pseudo-amino acid composition and support vector machine

Uses Software

• Cell-PLoc
• Cd-hit
• UniProt
• propy
• PseAAC-Builder
• iAMP-2L
• iLoc-Virus
• iLoc-Animal
• iLoc-Hum
• iLoc-Euk
• iRSpot-PseDNC
• iSNO-PseAAC
• iNuc-PhysChem
• MemHyb

Cites Work

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• Predicting plant protein subcellular multi-localization by Chou's PseAAC formulation based multi-label homolog knowledge transfer learning
• Use of fuzzy clustering technique and matrices to classify amino acids and its impact to Chou's pseudo amino acid composition
• A novel feature representation method based on Chou's pseudo amino acid composition for protein structural class prediction
• Some remarks on protein attribute prediction and pseudo amino acid composition
• Prediction of GABA\(_{\mathrm A}\) receptor proteins using the concept of Chou's pseudo-amino acid composition and support vector machine
• \textbf{iLoc-Virus}: a multi-label learning classifier for identifying the subcellular localization of virus proteins with both single and multiple sites
• MemHyb: predicting membrane protein types by hybridizing SAAC and PSSM

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