%0 Journal Article %A Serban, Nicoleta %A Wasserman, Larry %D 2003 %T CATS: Clustering After Transformation and Smoothing %U https://kilthub.cmu.edu/articles/journal_contribution/CATS_Clustering_After_Transformation_and_Smoothing/6586487 %R 10.1184/R1/6586487.v1 %2 https://kilthub.cmu.edu/ndownloader/files/12073472 %K Multiple testing %K False discovery rate %K clustering %K misclustering %K smoothing %K genetic microarrays %X

CATS - Clustering After Transformation and Smoothing - is a technique for nonparametrically estimating and clustering 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 nonparametrically inferring the misclustering rate.

%I Carnegie Mellon University