TY - GEN
T1 - The variable neighborhood search metaheuristic for fuzzy clusering cDNA microarray gene expression data
AU - Belacel, Nabil
AU - Cuperlovic-Culf, Miroslava
AU - Ouellette, Rodney
AU - Boulassel, Mohamed R.
PY - 2004
Y1 - 2004
N2 - Several thousand genes can be monitored simultaneously using cDNA microarray technology. To exploit the huge amount of information contained in gene expression data, adaptation of existing and development of new computational methods are required. Recently, the Fuzzy C-Means (F-CM) method has been applied to cluster cDNA microarray data sets. To overcome some shortcomings of F-CM and to improve its performance, it was embedded into a variable neighborhood search (VNS) metaheuristic. The methodology was used to cluster four cDNA microarray data sets. Results show that VNS+F-CM substantially improves the findings obtained by F-CM. This methodology may yield significant benefit in the improvement of decision support systems used for gene expression classification.
AB - Several thousand genes can be monitored simultaneously using cDNA microarray technology. To exploit the huge amount of information contained in gene expression data, adaptation of existing and development of new computational methods are required. Recently, the Fuzzy C-Means (F-CM) method has been applied to cluster cDNA microarray data sets. To overcome some shortcomings of F-CM and to improve its performance, it was embedded into a variable neighborhood search (VNS) metaheuristic. The methodology was used to cluster four cDNA microarray data sets. Results show that VNS+F-CM substantially improves the findings obtained by F-CM. This methodology may yield significant benefit in the improvement of decision support systems used for gene expression classification.
KW - Bioinformatics
KW - Fuzzy clustering
KW - Gene expression
KW - Variable neighborhood search metaheuristic
UR - http://www.scopus.com/inward/record.url?scp=11144276527&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=11144276527&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:11144276527
SN - 088986375X
SN - 9780889863750
T3 - Proceedings of the IASTED International Conference. Applied Informatics
SP - 51
EP - 56
BT - Proceedings of the IASTED International Conference on Artificial Intelligence and Applications (as part of the 22nd IASTED International Multi-Conference on Applied Informatics)
A2 - Hamza, M.H.
T2 - Proceedings of the IASTED International Conference on Artificial Intelligence and Applications (as part of the 22nd IASTED International Multi-Conference on Applied Informatics
Y2 - 16 February 2004 through 18 February 2004
ER -