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Validating clusterings of gene expression data

Wim De Mulder UGent, Martin Kuiper and René Boel UGent (2010) 2nd International Conference on Computer and Automation Engineering (ICCAE 2010). 1. p.241-245
abstract
We propose a measure for the validation of clusterings of gene expression data. This measure also useful to estimate missing gene expression levels, based the similarity information contained in a given clustering. It is shown that this measure is an improvement over the figure of merit, an existing validation measure especially developed for clusterings of gene expression data.
Please use this url to cite or link to this publication:
author
organization
year
type
conference
publication status
published
subject
keyword
genetics, bioinformatics, pattern clustering, clustering validation, gene expression data, missing gene expression levels, similarity information, validation measure
in
2nd International Conference on Computer and Automation Engineering (ICCAE 2010)
volume
1
pages
241 - 245
publisher
IEEE
place of publication
Piscataway, NJ, USA
conference name
2nd International Conference on Computer and Automation Engineering (ICCAE 2010)
conference location
Singapore, Singapore
conference start
2010-02-26
conference end
2010-02-28
Web of Science type
Conference Paper
Web of Science id
11259196
ISBN
9781424455850
9781424455690
DOI
10.1109/ICCAE.2010.5451960
language
English
UGent publication?
yes
classification
C1
copyright statement
I have transferred the copyright for this publication to the publisher
id
1191851
handle
http://hdl.handle.net/1854/LU-1191851
date created
2011-03-19 17:49:28
date last changed
2011-04-07 16:10:32
@inproceedings{1191851,
  abstract     = {We propose a measure for the validation of clusterings of gene expression data. This measure also useful to estimate missing gene expression levels, based the similarity information contained in a given clustering. It is shown that this measure is an improvement over the figure of merit, an existing validation measure especially developed for clusterings of gene expression data.},
  author       = {De Mulder, Wim and Kuiper, Martin  and Boel, Ren{\'e}},
  booktitle    = {2nd International Conference on Computer and Automation Engineering (ICCAE 2010)},
  isbn         = {9781424455850},
  keyword      = {genetics,bioinformatics,pattern clustering,clustering validation,gene expression data,missing gene expression levels,similarity information,validation measure},
  language     = {eng},
  location     = {Singapore, Singapore},
  pages        = {241--245},
  publisher    = {IEEE},
  title        = {Validating clusterings of gene expression data},
  url          = {http://dx.doi.org/10.1109/ICCAE.2010.5451960},
  volume       = {1},
  year         = {2010},
}

Chicago
De Mulder, Wim, Martin Kuiper, and René Boel. 2010. “Validating Clusterings of Gene Expression Data.” In 2nd International Conference on Computer and Automation Engineering (ICCAE 2010), 1:241–245. Piscataway, NJ, USA: IEEE.
APA
De Mulder, W., Kuiper, M., & Boel, R. (2010). Validating clusterings of gene expression data. 2nd International Conference on Computer and Automation Engineering (ICCAE 2010) (Vol. 1, pp. 241–245). Presented at the 2nd International Conference on Computer and Automation Engineering (ICCAE 2010), Piscataway, NJ, USA: IEEE.
Vancouver
1.
De Mulder W, Kuiper M, Boel R. Validating clusterings of gene expression data. 2nd International Conference on Computer and Automation Engineering (ICCAE 2010). Piscataway, NJ, USA: IEEE; 2010. p. 241–5.
MLA
De Mulder, Wim, Martin Kuiper, and René Boel. “Validating Clusterings of Gene Expression Data.” 2nd International Conference on Computer and Automation Engineering (ICCAE 2010). Vol. 1. Piscataway, NJ, USA: IEEE, 2010. 241–245. Print.