Name
Abstract | ||
|---|---|---|
Discovery biological organisation of the cell in modules network is a challenging task. Currently, approaches based on a controlled vocabulary, as Gene Ontology, to identify the function similarity among a pair of genes have developed. We present RGO: a rewriting of the GO aiming at obtaining a more compact and informative ontology, leading to closer biological regulated GO terms. The RGO will help researcher to easily identify the genes belonging to the same network module without the need of additional data. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.1109/CISIS.2010.30 | Complex, Intelligent and Software Intensive Systems |
Keywords | Field | DocType |
gene ontology,function similarity,informative ontology,controlled vocabulary,challenging task,network module,computing gene functional similarity,additional data,modules network,discovery biological organisation,gene ontology rewritten,polymers,biochemistry,semantics,ontologies,rna,databases,genetics | Ontology,Gene,Computer science,Gene ontology,Controlled vocabulary,Theoretical computer science,Natural language processing,Artificial intelligence,Biological organisation,Distributed computing,Ontology (information science),Rewriting,Semantics | Conference |
ISBN | Citations | PageRank |
978-1-4244-5917-9 | 1 | 0.37 |
References | Authors | |
8 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Alessia Visconti | 1 | 8 | 2.85 |
| Francesca Cordero | 2 | 63 | 13.42 |
| Marco Botta | 3 | 284 | 41.98 |
| Raffaele A. Calogero | 4 | 8 | 4.34 |