Seeing the forest for the trees: Using the Gene Ontology to restructure hierarchical clustering

Keyphrases

• Gene Ontology 100%
• Hierarchical Clustering 100%
• Expression Data 66%
• Semantic Similarity 66%
• Protein-protein Interaction 33%
• Gene Ontology Annotation 33%
• Immune Response 33%
• Human Cancer 33%
• Cluster Analysis 33%
• Glucose Metabolism 33%
• Background Knowledge 33%
• Novel Algorithm 33%
• Biological Relevance 33%
• External Measures 33%
• Cross-validation Test 33%
• Multiple Annotations 33%
• Protein-protein Interaction Data 33%
• Ontology Hierarchy 33%
• Ontology Structure 33%
• Unannotated Genes 33%

Computer Science

• Ontology 100%
• Hierarchical Clustering 100%
• Annotation 60%
• Background Knowledge 20%
• Cluster Analysis 20%

Biochemistry, Genetics and Molecular Biology

• Gene Ontology 100%
• Protein-Protein Interaction 50%
• Immune Response 25%
• Cluster Analysis 25%
• Phylogenetic Tree 25%
• Glucose Metabolism 25%