Comparison of the Data-based and Gene Ontology-Based Approaches to Cluster Validation Methods for Gene Microarrays

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	Similar Articles Articles by Nadia Bolshakova Articles by Anton Zamolotskikh Articles by P?draig Cunningham

19th IEEE Symposium on Computer-Based Medical Systems (CBMS'06)

Salt Lake City, Utah

June 22-June 23

ISBN: 0-7695-2517-1

	ASCII Text	x
	Nadia Bolshakova, Anton Zamolotskikh, P?draig Cunningham, "Comparison of the Data-based and Gene Ontology-Based Approaches to Cluster Validation Methods for Gene Microarrays," Computer-Based Medical Systems, IEEE Symposium on, pp. 539-543, 19th IEEE Symposium on Computer-Based Medical Systems (CBMS'06), 2006.

	BibTex	x
	@article{ 10.1109/CBMS.2006.69, author = {Nadia Bolshakova and Anton Zamolotskikh and P?draig Cunningham}, title = {Comparison of the Data-based and Gene Ontology-Based Approaches to Cluster Validation Methods for Gene Microarrays}, journal ={Computer-Based Medical Systems, IEEE Symposium on}, volume = {0}, year = {2006}, issn = {1063-7125}, pages = {539-543}, doi = {http://doi.ieeecomputersociety.org/10.1109/CBMS.2006.69}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, }

	RefWorks Procite/RefMan/Endnote	x
	TY - CONF JO - Computer-Based Medical Systems, IEEE Symposium on TI - Comparison of the Data-based and Gene Ontology-Based Approaches to Cluster Validation Methods for Gene Microarrays SN - 1063-7125 SP539 EP543 A1 - Nadia Bolshakova, A1 - Anton Zamolotskikh, A1 - P?draig Cunningham, PY - 2006 KW - null VL - 0 JA - Computer-Based Medical Systems, IEEE Symposium on ER -

Nadia Bolshakova, Trinity College Dublin, Ireland

Anton Zamolotskikh, Trinity College Dublin, Ireland

P?draig Cunningham, Trinity College Dublin, Ireland

DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/CBMS.2006.69

The paper presents a comparison of the data-based and Gene Ontology (GO)-based approaches to cluster validation methods for gene microarray analysis. We apply a homogeneous approach to obtaining metrics from different GO-based similarity measures and a normalization of validation index values, that allows us to compare them to each other as well as to databased validation indices. The results show strong correlation between both GO-based and data-based validation indices. The results suggest that this may represent an effective tool to support biomedical knowledge discovery tasks based on gene expression data.

Citation:

Nadia Bolshakova, Anton Zamolotskikh, P?draig Cunningham, "Comparison of the Data-based and Gene Ontology-Based Approaches to Cluster Validation Methods for Gene Microarrays," cbms, pp.539-543, 19th IEEE Symposium on Computer-Based Medical Systems (CBMS'06), 2006

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