Extracting and explaining biological knowledge in microarray data

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dc.contributor.author Kennedy, PJ
dc.contributor.author Simoff, SJ
dc.contributor.author Skillicorn, D
dc.contributor.author Catchpoole, D
dc.date.accessioned 2009-11-09T05:35:38Z
dc.date.issued 2004
dc.identifier.citation Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science), 2004, 3056 pp. 699 - 703
dc.identifier.issn 0302-9743
dc.identifier.other E1 en_US
dc.identifier.uri http://hdl.handle.net/10453/2414
dc.description.abstract 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.
dc.relation.hasversion Accepted manuscript version
dc.title Extracting and explaining biological knowledge in microarray data
dc.type Conference Proceeding
dc.description.version Published
dc.parent Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science)
dc.journal.volume 3056
dc.journal.number en_US
dc.publocation Berlin en_US
dc.identifier.startpage 699 en_US
dc.identifier.endpage 703 en_US
dc.cauo.name FEIT.School of Software en_US
dc.conference Verified OK en_US
dc.conference 8th Pacific/Asia Conference on Advances in Knowledge Discovery and Data Mining
dc.conference.location Sydney, Australia en_US
dc.for 0804 Data Format
dc.personcode 000716
dc.personcode 990679
dc.personcode 996701
dc.percentage 100 en_US
dc.classification.name Data Format en_US
dc.classification.type FOR-08 en_US
dc.custom Pacific-Asia Conference on Knowledge Discovery and Data Mining en_US
dc.date.activity 20040526 en_US
dc.date.activity 2004-05-26
dc.location.activity Sydney, Australia en_US
dc.location.activity Sydney, AUSTRALIA
dc.description.keywords Bioinformatics
dc.description.keywords cDNA microarray
dc.description.keywords Cluster analysis
pubs.embargo.period Not known
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 Software
pubs.organisational-group /University of Technology Sydney/Strength - Quantum Computation and Intelligent Systems
utslib.copyright.status Open Access
utslib.copyright.date 2015-04-15 12:23:47.074767+10
pubs.consider-herdc true
utslib.collection.history General (ID: 2)


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