Super paramagnetic clustering of yeast gene expression pro les
نویسندگان
چکیده
High density DNA arrays used to monitor gene expression at a genomic scale have produced vast amounts of information which require the development of e cient computational methods to analyze them The important rst step is to extract the fundamental patterns of gene expression inherent in the data This paper de scribes the application of a novel clustering algorithm Super Paramagnetic Cluster ing SPC to analysis of gene expression pro les that were generated recently during a study of the yeast cell cycle SPC was used to organize genes into biologically rel evant clusters that are suggestive for their co regulation Some of the advantages of SPC are its robustness against noise and initialization a clear signature of cluster formation and splitting and an unsupervised self organized determination of the number of clusters at each resolution Our analysis revealed interesting correlated behavior of several groups of genes which has not been previously identi ed
منابع مشابه
Super-paramagnetic clustering of yeast gene expression profiles
High-density DNA arrays, used to monitor gene expression at a genomic scale, have produced vast amounts of information which require the development of efficient computational methods to analyze them. The important first step is to extract the fundamental patterns of gene expression inherent in the data. This paper describes the application of a novel clustering algorithm, Super-Paramagnetic Cl...
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