SVM-Prot 2016: A Web-Server for Machine Learning Prediction of Protein Functional Families from Sequence Irrespective of Similarity
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Title
SVM-Prot 2016: A Web-Server for Machine Learning Prediction of Protein Functional Families from Sequence Irrespective of Similarity
Authors
Keywords
Forecasting, DNA-binding proteins, Machine learning, Sequence alignment, Protein domains, Sequence databases, BLAST algorithm, Neural networks
Journal
PLoS One
Volume 11, Issue 8, Pages e0155290
Publisher
Public Library of Science (PLoS)
Online
2016-08-16
DOI
10.1371/journal.pone.0155290
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- (2014) P. Jones et al. BIOINFORMATICS
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- (2014) Peter W. Rose et al. NUCLEIC ACIDS RESEARCH
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- (2014) Alex Mitchell et al. NUCLEIC ACIDS RESEARCH
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- (2012) Mark N. Wass et al. NUCLEIC ACIDS RESEARCH
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- (2012) Chih-Chung Chang et al. ACM Transactions on Intelligent Systems and Technology
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- (2011) Muhammad Naveed et al. AMINO ACIDS
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- (2011) H. B. Rao et al. NUCLEIC ACIDS RESEARCH
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