Prediction of Interactions between Viral and Host Proteins Using Supervised Machine Learning Methods
Published 2014 View Full Article
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Title
Prediction of Interactions between Viral and Host Proteins Using Supervised Machine Learning Methods
Authors
Keywords
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Journal
PLoS One
Volume 9, Issue 11, Pages e112034
Publisher
Public Library of Science (PLoS)
Online
2014-11-07
DOI
10.1371/journal.pone.0112034
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Note: Only part of the references are listed.- Reconstituting protein interaction networks using parameter-dependent domain-domain interactions
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- Update on activities at the Universal Protein Resource (UniProt) in 2013
- (2012) NUCLEIC ACIDS RESEARCH
- PROGRESS IN COMPUTATIONAL STUDIES OF HOST–PATHOGEN INTERACTIONS
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- (2010) Y. Qi et al. BIOINFORMATICS
- Cytoscape 2.8: new features for data integration and network visualization
- (2010) M. E. Smoot et al. BIOINFORMATICS
- Exploiting Amino Acid Composition for Predicting Protein-Protein Interactions
- (2009) Sushmita Roy et al. PLoS One
- Using support vector machine combined with auto covariance to predict protein–protein interactions from protein sequences
- (2008) Yanzhi Guo et al. NUCLEIC ACIDS RESEARCH
- VirusMINT: a viral protein interaction database
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