Effect of data normalization on fuzzy clustering of DNA microarray data
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[1] Doulaye Dembélé,et al. Fuzzy C-means Method for Clustering Microarray Data , 2003, Bioinform..
[2] D. Botstein,et al. The transcriptional program in the response of human fibroblasts to serum. , 1999, Science.
[3] Ronald W. Davis,et al. A genome-wide transcriptional analysis of the mitotic cell cycle. , 1998, Molecular cell.
[4] Partha S. Vasisht. Computational Analysis of Microarray Data , 2003 .
[5] Michael Ruogu Zhang,et al. Comprehensive identification of cell cycle-regulated genes of the yeast Saccharomyces cerevisiae by microarray hybridization. , 1998, Molecular biology of the cell.
[6] Ali S. Hadi,et al. Finding Groups in Data: An Introduction to Chster Analysis , 1991 .
[7] Peter J. Rousseeuw,et al. Finding Groups in Data: An Introduction to Cluster Analysis , 1990 .
[8] Nabil Belacel,et al. Fuzzy J-Means and VNS methods for clustering genes from microarray data , 2004, Bioinform..
[9] Reinhard Guthke,et al. Gene Expression Data Mining for Functional Genomics , 2001 .
[10] D. Botstein,et al. Cluster analysis and display of genome-wide expression patterns. , 1998, Proceedings of the National Academy of Sciences of the United States of America.
[11] Yingdong Zhao,et al. An adaptive method for cDNA microarray normalization , 2004, BMC Bioinformatics.
[12] G. Church,et al. Systematic determination of genetic network architecture , 1999, Nature Genetics.
[13] Terence P. Speed,et al. Normalization for cDNA microarry data , 2001, SPIE BiOS.
[14] J. Mesirov,et al. Interpreting patterns of gene expression with self-organizing maps: methods and application to hematopoietic differentiation. , 1999, Proceedings of the National Academy of Sciences of the United States of America.
[15] D. Botstein,et al. The transcriptional program of sporulation in budding yeast. , 1998, Science.
[16] Sanjit K. Mitra,et al. Optimized LOWESS normalization parameter selection for DNA microarray data , 2004, BMC Bioinformatics.
[17] Susmita Datta,et al. Comparisons and validation of statistical clustering techniques for microarray gene expression data , 2003, Bioinform..
[18] W. L. Ruzzo,et al. An empirical study on Principal Component Analysis for clustering gene expression data , 2000 .
[19] Seo Young Kim,et al. Fuzzy Types Clustering for Microarray Data , 2005, WEC.
[20] B. Morgan,et al. Non-uniqueness and Inversions in Cluster Analysis , 1995 .
[21] James C. Bezdek,et al. Pattern Recognition with Fuzzy Objective Function Algorithms , 1981, Advanced Applications in Pattern Recognition.
[22] Michalis Vazirgiannis,et al. On Clustering Validation Techniques , 2001, Journal of Intelligent Information Systems.