CATS: Clustering After Transformation and Smoothing

Nicoleta Serban and Larry Wasserman


CATS - Clustering After Transformation and Smoothing - is a technique for nonparametrically estimating and clustring a large number of curves. Our motivating example is a genetic microarray experiment but the method is very general. The method includes: transformation and smoothing multiple curves, multiple nonparametric testing for trends, clustering curves with similar shape, and nonparametriclaly inferring the misclustering rate.

Keywords: Multiple testing, False discovery rate, clustering, misclustering, smoothing, genetic microarrays.

Heidi Sestrich 2004-02-02
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