Cluster Analysis

Useful Resources

Differential Gene Expression > Cluster Analysis (7)

	Cluster analysis and data visualization of large-scale gene expression data A strategy for the analysis for large-scale quantitative gene expression measurement data from time course experiments. http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=PubMed&list_uids=9697170&dopt=Abstract
	Cluster analysis and display of genome-wide expression patterns Describes a system of cluster analysis for genome-wide expression data from DNA microarray hybridization that uses standard statistical algorithms to arrange genes according to similarity in pattern of gene expression. http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=PubMed&list_uids=9843981&dopt=Abstract
	Cluster Analysis Overview of two way joining and k-Means clustering. http://www.statsoft.com/textbook/stcluan.html
	Cluster Analysis Reviews some of the key terms and concepts hierarchical, two-step, and other forms of cluster analysis. http://www2.chass.ncsu.edu/garson/PA765/cluster.htm
	Partitioning large-sample microarray-based gene expression profiles using principal components analysis This paper describes the principal components solution to the factor model of the correlation matrix R, calculation of eigenvalues and eigenvectors of R, extraction of factors, and calculation of factor loadings and identification of genes with similar loading patterns to construct groups of genes with similar expression profiles. http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=PubMed&dopt=Abstract&list_uids=12507787
	Recursive partitioning for tumor classification with gene expression microarray data A paper describing a methodology to improve the classification of tumors based on classification trees. http://www.pnas.org/cgi/content/abstract/98/12/6730
	Subspace Clustering for Microarray Data Analysis: Multiple Criteria and Significance Assessment A paper that suggests a new methodology to overcome the challenges of ranking and prioritizing of clusters and assessing their biological significance. http://csdl2.computer.org/comp/proceedings/csb/2004/2194/00/21940582.pdf

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