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A Fast Quad-Tree Based Two Dimensional Hierarchical Clustering
2012
Bioinformatics and Biology Insights
Recently, microarray technologies have become a robust technique in the area of genomics. An important step in the analysis of gene expression data is the identification of groups of genes disclosing analogous expression patterns. Cluster analysis partitions a given dataset into groups based on specified features. Euclidean distance is a widely used similarity measure for gene expression data that considers the amount of changes in gene expression. However, the huge number of genes and the
doi:10.4137/bbi.s10383
pmid:23226009
pmcid:PMC3511054
fatcat:cgb4lbu7mjfpfh3yleckbwxcx4