Exploiting ontology graph for predicting sparsely annotated gene function
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Title
Exploiting ontology graph for predicting sparsely annotated gene function
Authors
Keywords
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Journal
BIOINFORMATICS
Volume 31, Issue 12, Pages i357-i364
Publisher
Oxford University Press (OUP)
Online
2015-06-14
DOI
10.1093/bioinformatics/btv260
References
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Related references
Note: Only part of the references are listed.- Inferring gene ontologies from pairwise similarity data
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- STRING v9.1: protein-protein interaction networks, with increased coverage and integration
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- Cytoscape 2.8: new features for data integration and network visualization
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- HIERARCHICAL CLASSIFICATION OF GENE ONTOLOGY TERMS USING THE GOstruct METHOD
- (2010) ARTEM SOKOLOV et al. Journal of Bioinformatics and Computational Biology
- Systems-level cancer gene identification from protein interaction network topology applied to melanogenesis-related functional genomics data
- (2009) T. Milenkovic et al. Journal of the Royal Society Interface
- Walking the Interactome for Prioritization of Candidate Disease Genes
- (2008) Sebastian Köhler et al. AMERICAN JOURNAL OF HUMAN GENETICS
- Consistent probabilistic outputs for protein function prediction
- (2008) Guillaume Obozinski et al. GENOME BIOLOGY
- Inferring mouse gene functions from genomic-scale data using a combined functional network/classification strategy
- (2008) Wan Kim et al. GENOME BIOLOGY
- Predicting gene function in a hierarchical context with an ensemble of classifiers
- (2008) Yuanfang Guan et al. GENOME BIOLOGY
- A critical assessment of Mus musculus gene function prediction using integrated genomic evidence
- (2008) Lourdes Peña-Castillo et al. GENOME BIOLOGY
- GeneMANIA: a real-time multiple association network integration algorithm for predicting gene function
- (2008) Sara Mostafavi et al. GENOME BIOLOGY
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