A classification-based prediction model of messenger RNA polyadenylation sites

DOI10.1016/J.JTBI.2010.05.015zbMath1460.92157OpenAlexW2000731859WikidataQ51612283 ScholiaQ51612283MaRDI QIDQ1720068

Jiangyin Huang, Qingshun Quinn Li, Guoli Ji, Yingjia Shen, Xiao-Hui Wu

Publication date: 12 February 2019

Published in: Journal of Theoretical Biology (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.jtbi.2010.05.015

zbMATH Keywords

predictive modelinggenome annotation\textit{Arabidopsis}classification-based modelingpolyadenylation

Mathematics Subject Classification ID

Protein sequences, DNA sequences (92D20)

Related Items (2)

Predicting DNA binding proteins using support vector machine with hybrid fractal features ⋮ Some remarks on protein attribute prediction and pseudo amino acid composition

Uses Software

• Cell-PLoc
• ProtIdent
• GPCR-GIA
• GPCR-CA
• Hum-mPLoc

Cites Work

• Unnamed Item
• Bayesian network classifiers
• Use of fuzzy clustering technique and matrices to classify amino acids and its impact to Chou's pseudo amino acid composition
• Using the augmented Chou's pseudo amino acid composition for predicting protein submitochondria locations based on auto covariance approach
• Prediction protein structural classes with pseudo-amino acid composition: approximate entropy and hydrophobicity pattern
• Predicting protein structural classes with pseudo amino acid composition: an approach using geometric moments of cellular automaton image

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