Predicting Protein Function via Semantic Integration of Multiple Networks

Keyphrases

• Multiplex Networks 100%
• Protein Function 100%
• Semantic Integration 100%
• Individual Networks 50%
• Proteomics Data 50%
• Heterogeneous Data Sources 50%
• Composite Networks 50%
• Experiment Results 25%
• Semantic Similarity 25%
• Matrix Laboratory (MATLAB) 25%
• Genomic Data 25%
• Kernel-based 25%
• Biological Function 25%
• Large Volume 25%
• Gene Ontology 25%
• Computational Model 25%
• Weighted Sums 25%
• Protein Function Prediction 25%
• Postgenomics 25%
• Functional Networks 25%
• Recent Approaches 25%
• Driving Data 25%
• Biological Knowledge 25%
• Competitive Approach 25%
• Neural Network Classifier 25%
• Semantic Kernel 25%
• Multiple Biological Data 25%
• Gene Ontology Annotation 25%
• Multi-source Heterogeneous Data 25%

Computer Science

• Data Source 100%
• Multiple Network 100%
• Semantic Integration 100%
• Ontology 40%
• Heterogeneous Data 20%
• Annotation 20%
• Computational Modeling 20%
• Prediction Function 20%
• Association Network 20%
• Biological Knowledge 20%

Biochemistry, Genetics and Molecular Biology

• Protein Function 100%
• Proteomics 66%
• Genomics 66%
• Gene Ontology 66%
• Biological Functions 33%
• Drive 33%
• Protein function prediction 33%