Extracting and explaining biological knowledge in microarray data

Paul J. Kennedy, Simeon J. Simoff, David Skillicorn, Daniel Catchpoole

Research output: Chapter in Book / Conference PaperConference Paperpeer-review

8 Citations (Scopus)

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.

Original languageEnglish
Title of host publicationAdvances in Knowledge Discovery and Data Mining - 8th Pacific-Asia Conference, PAKDD 2004, Proceedings
EditorsHonghua Dai, Ramakrishnan Srikant, Chengqi Zhang
PublisherSpringer Verlag
Pages699-703
Number of pages5
ISBN (Print)354022064X, 9783540220640
DOIs
Publication statusPublished - 2004
Externally publishedYes
Event8th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2004 - Sydney, Australia
Duration: 26 May 200428 May 2004

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume3056
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference8th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2004
Country/TerritoryAustralia
CitySydney
Period26/05/0428/05/04

Bibliographical note

Publisher Copyright:
© Springer-Verlag Berlin Heidelberg 2004.

Keywords

  • Bioinformatics
  • Cluster analysis
  • cDNA microarray

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