Identification of hormone binding proteins based on machine learning methods

DOI10.3934/MBE.2019123zbMath1501.92101OpenAlexW2923490814WikidataQ92346905 ScholiaQ92346905MaRDI QIDQ2091917

Yanyan Li

Publication date: 2 November 2022

Published in: Mathematical Biosciences and Engineering (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.3934/mbe.2019123

zbMATH Keywords

feature selectionsupport vector machinebinomial distribution methodhormone binding proteintripeptide compositionwebserver

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Protein sequences, DNA sequences (92D20)

Related Items (4)

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Cites Work

• Naïve Bayes classifier with feature selection to identify phage virion proteins
• Some remarks on protein attribute prediction and pseudo amino acid composition
• Convex hull analysis of evolutionary and phylogenetic relationships between biological groups

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