Protein secondary structure prediction using three neural networks and a segmental semi-Markov model

DOI10.1016/J.MBS.2008.11.001zbMath1157.92307OpenAlexW2146551903WikidataQ51861370 ScholiaQ51861370MaRDI QIDQ1010247

Hamid Pezeshk, Mehdi Sadeghi, Seyed Amir Malekpour, Sima Naghizadeh, Changiz Eslahchi

Publication date: 3 April 2009

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

Full work available at URL: https://doi.org/10.1016/j.mbs.2008.11.001

zbMATH Keywords

discriminationBayesian methodsconditional dependency modelsdependency windowhidden Markov models (HMMs)multi-class pattern classification

Mathematics Subject Classification ID

Pattern recognition, speech recognition (68T10) Biochemistry, molecular biology (92C40)

Related Items (1)

Secondary structure prediction of protein based on multi scale convolutional attention neural networks

Uses Software

• Porter

Cites Work

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• Multi-class pattern classification using neural networks
• Biological Sequence Analysis

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