DocumentCode
2169056
Title
Validating clusterings of gene expression data
Author
De Mulder, Wim ; Boel, René ; Kuiper, Martin
Author_Institution
Dept. of Electr. Energy, Syst. & Autom., Ghent Univ., Ghent, Belgium
Volume
1
fYear
2010
fDate
26-28 Feb. 2010
Firstpage
241
Lastpage
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.
Keywords
bioinformatics; genetics; pattern clustering; clustering validation; gene expression data; missing gene expression levels; similarity information; validation measure; Automation; Bioinformatics; Clustering algorithms; Costs; Electric variables measurement; Energy measurement; Gene expression; Magneto electrical resistivity imaging technique; Power measurement; Systems biology; clustering; figure ef merit cempenent; gene expressien; k-means; val idatien;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer and Automation Engineering (ICCAE), 2010 The 2nd International Conference on
Conference_Location
Singapore
Print_ISBN
978-1-4244-5585-0
Electronic_ISBN
978-1-4244-5586-7
Type
conf
DOI
10.1109/ICCAE.2010.5451960
Filename
5451960
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