Microarray analysis: Choice of metric, new clustering algorithm and identification of transcription factors

作者: Ryung Suk Kim

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摘要: There are statistical algorithms that combine microarray expression data and genome sequence data to successfully identify the transcription factor (TF) bindings motifs in the low eukaryotic genome. In higher eukaryotes, however, finding TF binding sites is currently a challenge. Gene expression clusters found by classical methods often do not lead to successful identification of the TF bindings sites. We think current lack of success comes from three aspects.

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