Clustering Algorithms
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Every cell contains all the information necessary to grow, divide, and respond correctly to its environment. The DNA sequence that holds this information is already known for many organisms, and a canonical draft DNA sequence was known for humans by the end of 2000. With this sequence information, biology is poised to enter an era of massively accelerated data collection to elucidate the mechanisms of life and the ailments that result when these mechanisms fail. High-throughput gene expression detection and analysis depends on this genomic information and yields unprecedented amounts of data about the molecular mechanisms that regulate a cell's behavior. Thus, gene expression analysis exemplifies how knowledge discovery techniques are being applied to gene discovery in biology and pharmacological research. This case study will describe what gene expression is, ways in which this data is currently analyzed, and the challenges remaining for effectively deriving biological knowledge from large sets of gene expression data.