Pattern analysis for the prediction of fungal pro-peptide cleavage sites

DOI10.1016/j.dam.2008.06.043zbMath1165.92016OpenAlexW2057589545MaRDI QIDQ1026204

J. Blot

Publication date: 24 June 2009

Published in: Discrete Applied Mathematics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.dam.2008.06.043

zbMATH Keywords

support vector machinescomputational biologymachine learningcontinuous optimizationlibSVMpro-peptide cleavage site

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Pattern recognition, speech recognition (68T10) Biochemistry, molecular biology (92C40)

Related Items (1)

On numerical optimization theory of infinite kernel learning

Uses Software

• LIBSVM
• ElemStatLearn
• AAindex
• ProP

Cites Work

• Classification accuracy based on observed margin
• Support vector machines for learning to identify the critical positions of a protein
• 10.1162/153244302760185252
• The elements of statistical learning. Data mining, inference, and prediction

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