[1]
Belacel, N., Wang, Q. and Cuperlovic-Culf, M. (2006) Clustering methods for microarray gene expression data. Omics: A Journal of Integrative Biology, 10, 507-531.
[2]
Tsai, T.H., Milhorn, D.M. and Huang, S.K. (2006) Microarray and gene-clustering analysis. Methods in Molecular Biology, 315, 165-174.
[3]
Tang, R. and Muller, H.G. (2009) Time-synchronized clustering of gene expression trajectories. Biostatistics, 10, 32-45.
http://dx.doi.org/10.1093/biostatistics/kxn011
[4]
Song, J.J., Lee, H.J., Morris, J.S. and Kang, S. (2007) Clustering of time-course gene expression data using functional data analysis. Computational Biology and Chemistry, 31, 265-274.
http://dx.doi.org/10.1016/j.compbiolchem.2007.05.006
[5]
Bar-Joseph, Z. (2004) Analyzing time series gene expression data. Bioinformatics 20, 2493-2503.
http://dx.doi.org/10.1093/bioinformatics/bth283
[6]
Bar-Joseph, Z., Gerber, G.K., Gifford, D.K., Jaakkola, T.S. and Simon, I. (2003) Continuous representations of time-series gene expression data. Journal of Computational Biology, 10, 341-356.
http://dx.doi.org/10.1089/10665270360688057
[7]
Luan, Y.H. and Li, H.Z. (2003) Clustering of time-course gene expression data using a mixed-effects model with B-splines. Bioinformatics, 19, 474-482.
http://dx.doi.org/10.1093/bioinformatics/btg014
[8]
Gasch, A.P. and Eisen, M.B. (2002) Exploring the conditional core-gulation of yeast gene expression through fuzzy k-means clustering. Genome Biology, 3, RESEARCH0059.
[9]
Boratyn, G.M., Datta, S. and Datta, S. (2006) Biologically supervised hierarchical clustering algorithms for gene expression data. 28th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBS’06), New York, 30 August-3 September 2006, 5515-5518.
[10]
Wang, J., Delabie, J., Aasheim, H., Smeland, E. and Myklebost, O. (2002) Clustering of the SOM easily re-veals distinct gene expression patterns: Results of a reanalysis of lymphoma study. BMC Bioinformatics, 3, 36.
http://dx.doi.org/10.1093/bioinformatics/btg014
[11]
Zhang, M., Adamu, B., Lin, C.C. and Yang, P. (2011) Gene expression analysis with integrated fuzzy C-means and pathway analysis. Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2011), Boston, 30 August-3 September 2011, 936-939.
[12]
Dembele, D. and Kastner, P. (2003) Fuzzy C-means method for clustering microar-ray data. Bioinformatics, 19, 973-980.
http://dx.doi.org/10.1093/bioinformatics/btg119
[13]
Du, P., Gong, J., Syrkin Wurtele, E. and Dickerson, J.A. (2005) Modeling gene expression networks using fuzzy logic. IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics, 35, 1351-1359.
http://dx.doi.org/10.1109/TSMCB.2005.855590
[14]
Yeung, K.Y., Fraley, C., Murua, A., Raftery, A.E. and Ruzzo, W.L. (2001) Model-based clustering and data transformations for gene expression data. Bioinformatics, 17, 977-987.
http://dx.doi.org/10.1093/bioinformatics/17.10.977
[15]
Yang, C.M., Wan, B.K. and Gao, X.F. (2003) Data pre-processing in cluster analysis of gene expression. Chinese Physics Letters, 20, 774-777.
http://dx.doi.org/10.1093/bioinformatics/17.10.977
[16]
Futschik, M.E. and Carlisle, B. (2005) Noise-robust soft clustering of gene expression time-course data. Journal of Bioinformatics and Computational Biology, 3, 965-988.
http://dx.doi.org/10.1093/bioinformatics/17.10.977
[17]
Hu, X., Yoo, I., Zhang, X., Nanavati, P. and Debjit, D. (2005) Wavelet transformation and cluster ensemble for gene expression analysis. International Journal of Bioinformatics Research and Applications, 1, 447-460.
http://dx.doi.org/10.1504/IJBRA.2005.008447
[18]
Dejean, S., Martin, P.G., Baccini, A. and Besse, P. (2007) Clustering time-series gene expression data using smoothing spline deriv-atives. EURASIP Journal on Bio-informatics & Systems Biology, 2007, Article ID: 70561.
[19]
Yin, L., Huang, C.H. and Ni, J. (2006) Clustering of gene expression data: Performance and similarity analysis. BMC Bioinformatics, 7, S19.
http://dx.doi.org/10.1186/1471-2105-7-S4-S19
[20]
Kuragano, T. and Kasono, K. (2008) Curve generation and modification based on radius of curvature smoothing. Proceedings of the 10th WSEAS International Conference on Mathematical and Computational Methods in Science and Engineering (MAC-MESE’08), Bucharest, 7-9 November 2008, 80-87.
[21]
Yeung, K.Y., Fraley, C., Murua, A., Raftery, A.E. and Ruzzo, W.L. (2001) Model-based clustering and data transformations for gene expression data. Bioinformatics, 17, 977-987.
http://dx.doi.org/10.1093/bioinformatics/17.10.977
[22]
Fu, L. and Medico, E. (2007) FLAME, a novel fuzzy clustering method for the analysis of DNA microarray data. BMC Bioinformatics, 8, 3.
http://dx.doi.org/10.1038/10343
[23]
Tavazoie, S., Hughes, J.D., Campbell, M.J., Cho, R.J. and Church, G.M. (1999) Systematic determination of genetic network architecture. Nature genetics, 22, 281-285.
http://dx.doi.org/10.1038/10343