The Gene Ontology project is an effort to structure knowledge on biological products and processes by adding semantic information to them. This is done in a systematic way so that this additional information can be automatically processed. In this contribution a protein-protein interaction visualization algorithm is proposed, which combines protein interaction data with Gene Ontology semantic information. The information is integrated using a semantic distance measure defined in ontologies or taxonomies. Multidimensional scaling is applied to this measure and the output complements protein interaction data in building an interaction visualization map.Peer Reviewe
Quantitative measure of functional similarity between gene products is im-portant for post-genomics ...
Protein-protein interactions (PPIs) are involved in all cellular processes, e.g. signal transduction...
The advances in information and communication technologies coupled with increased knowledge about ge...
Abstract Background Cellular processes require the interaction of many proteins across several cellu...
BACKGROUND: Cellular processes require the interaction of many proteins across several cellular comp...
Living cells are controlled by proteins and genes that interact through complex molecular pathways t...
Abstract Background Semantic similarity measures are ...
AbstractBiological function is to a large extent mediated and controlled by interactions among prote...
In recent years large amounts of information have been accumulated in proteomic, genetic and metabol...
The amount of biomedical data produced by DNA-sequencing, by curated knowledge on disease mechanisms...
The Protein Structural and Functional Conservation need a common language for data definition. With ...
<div><p>Protein complexes are of great importance in understanding the principles of cellular organi...
Background: Visualization concerns the representation of data visually and is an important task in s...
Two benchmark datasets for evaluating machine learning methods on the task of predicting protein--pr...
The structured vocabulary that describes gene function, the gene ontology (GO), serves as a powerful...
Quantitative measure of functional similarity between gene products is im-portant for post-genomics ...
Protein-protein interactions (PPIs) are involved in all cellular processes, e.g. signal transduction...
The advances in information and communication technologies coupled with increased knowledge about ge...
Abstract Background Cellular processes require the interaction of many proteins across several cellu...
BACKGROUND: Cellular processes require the interaction of many proteins across several cellular comp...
Living cells are controlled by proteins and genes that interact through complex molecular pathways t...
Abstract Background Semantic similarity measures are ...
AbstractBiological function is to a large extent mediated and controlled by interactions among prote...
In recent years large amounts of information have been accumulated in proteomic, genetic and metabol...
The amount of biomedical data produced by DNA-sequencing, by curated knowledge on disease mechanisms...
The Protein Structural and Functional Conservation need a common language for data definition. With ...
<div><p>Protein complexes are of great importance in understanding the principles of cellular organi...
Background: Visualization concerns the representation of data visually and is an important task in s...
Two benchmark datasets for evaluating machine learning methods on the task of predicting protein--pr...
The structured vocabulary that describes gene function, the gene ontology (GO), serves as a powerful...
Quantitative measure of functional similarity between gene products is im-portant for post-genomics ...
Protein-protein interactions (PPIs) are involved in all cellular processes, e.g. signal transduction...
The advances in information and communication technologies coupled with increased knowledge about ge...