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BMCBI
2010
117views more  BMCBI 2010»
13 years 5 months ago
Automatic, context-specific generation of Gene Ontology slims
Background: The use of ontologies to control vocabulary and structure annotation has added value to genomescale data, and contributed to the capture and re-use of knowledge across...
Melissa J. Davis, Muhammad Shoaib B. Sehgal, Mark ...
CBMS
2008
IEEE
13 years 6 months ago
Generating GO Slim Using Relational Database Management Systems to Support Proteomics Analysis
The Gene Ontology Consortium built the Gene Ontology database (GO) to address the need for a common standard in naming genes and gene products. Using different names for the same ...
Getiria Onsongo, Hongwei Xie, Timothy J. Griffin, ...
BMCBI
2010
105views more  BMCBI 2010»
13 years 5 months ago
The Neural/Immune Gene Ontology: clipping the Gene Ontology for neurological and immunological systems
Background: The Gene Ontology (GO) is used to describe genes and gene products from many organisms. When used for functional annotation of microarray data, GO is often slimmed by ...
Nophar Geifman, Alon Monsonego, Eitan Rubin
CBMS
2007
IEEE
13 years 11 months ago
Auto-Extraction, Representation and Integration of a Diabetes Ontology Using Bayesian Networks
This paper describes how high level biological knowledge obtained from ontologies such as the Gene Ontology (GO) can be integrated with low level information extracted from a Baye...
Kenneth McGarry, Sheila Garfield, Stefan Wermter
IJCAI
2007
13 years 6 months ago
Integration of Hybrid Bio-Ontologies using Bayesian Networks for Knowledge Discovery
This paper describes how high level biological knowledge obtained from ontologies such as the Gene Ontology (GO) can be integrated with low level information extracted from a Baye...
Kenneth McGarry, Sheila Garfield, Nick Morris, Ste...