Extracting and explaining biological knowledge in microarray data

Kennedy, PJ; Simoff, SJ; Skillicorn, D; Catchpoole, D

Extracting and explaining biological knowledge in microarray data

Kennedy, PJ

Simoff, SJ Skillicorn, D Catchpoole, D

Permalink

Publication Type:: Conference Proceeding
Citation:: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2004, 3056 pp. 699 - 703
Issue Date:: 2004-01-01

Open Access

Copyright Clearance Process

Recently Added
In Progress
Open Access

This item is open access.

Adobe PDF

Download full textAdobe PDF (117.17 kB)

View statistics

Full metadata record

Field	Value	Language
dc.contributor.author	Kennedy, PJ https://orcid.org/0000-0001-7837-3171	en_US
dc.contributor.author	Simoff, SJ	en_US
dc.contributor.author	Skillicorn, D	en_US
dc.contributor.author	Catchpoole, D	en_US
dc.date.issued	2004-01-01	en_US
dc.identifier.citation	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2004, 3056 pp. 699 - 703	en_US
dc.identifier.isbn	354022064X	en_US
dc.identifier.isbn	9783540220640	en_US
dc.identifier.issn	0302-9743	en_US
dc.identifier.uri	http://hdl.handle.net/10453/2414
dc.description.abstract	© Springer-Verlag Berlin Heidelberg 2004. This paper describes a method of clustering lists of genes mined from a microarray dataset using functional information from the Gene Ontology. The method uses relationships between terms in the ontology both to build clusters and to extract meaningful cluster descriptions. The approach is general and may be applied to assist explanation of other datasets associated with ontologies.	en_US
dc.relation.ispartof	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)	en_US
dc.subject.classification	Artificial Intelligence & Image Processing	en_US
dc.title	Extracting and explaining biological knowledge in microarray data	en_US
dc.type	Conference Proceeding
utslib.citation.volume	3056	en_US
utslib.for	0804 Data Format	en_US
dc.location.activity	Sydney, Australia	en_US
dc.location.activity	Sydney, AUSTRALIA
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Computer Science
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Software
pubs.organisational-group	/University of Technology Sydney/Strength - CAI - Centre for Artificial Intelligence
pubs.organisational-group	/University of Technology Sydney/Strength - CHT - Health Technologies
utslib.copyright.status	open_access
pubs.publication-status	Published	en_US
pubs.volume	3056	en_US

Abstract:

© Springer-Verlag Berlin Heidelberg 2004. This paper describes a method of clustering lists of genes mined from a microarray dataset using functional information from the Gene Ontology. The method uses relationships between terms in the ontology both to build clusters and to extract meaningful cluster descriptions. The approach is general and may be applied to assist explanation of other datasets associated with ontologies.

Please use this identifier to cite or link to this item:

http://hdl.handle.net/10453/2414