Pharmacogenomics of Cystic Fibrosis

Application of the hierarchical clustering algorithm to genomics and marketing. The origins of the high-quality hierarchical clustering algorithms used for genomic analysis lie in economic analysis. In genomic analysis, patients or experiments are clustered with each other in terms of gene expression. Analogously, customer identifiers, such as zip codes, are associated with purchased items. Optimal associations are formed between nearest neighbors in terms of dyadic branches on a relational tree. We used a random number generator to provide the data example in this figure, and the algorithm provided the array. The graded red and green colors, customary in genomic analysis, represent positive and negative extremes. For example, note the clustering of experiments F and B with respect to their similar sets of colors, and their separation from the disparate color sets of experiments G and D.