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- W1569686745 abstract "Cluster methods are typically applied to time course gene expression data to find co-regulated genes which can finally help to reveal pathways and interactions between genes. Clustering is either carried out on the raw data or on functional data. In functional data analysis a curve is fit to each observation in order to account for time dependency. As gene expression over time is biologically a continuous process it can be represented by a continuous function. The different curve shapes found in a dataset can have important interpretations and characteristic patterns can be found by clustering the estimated regression coefficients." @default.
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- W1569686745 date "2009-01-01" @default.
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- W1569686745 title "Quality-Based Clustering of Functional Data: Applications to Time Course Microarray Data" @default.
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- W1569686745 doi "https://doi.org/10.1007/978-3-642-01044-6_62" @default.
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