Kari Vasko

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Segmentation is a popular technique for discovering structure in time series data. We address the largely open problem of estimating the number of segments that can be reliably discovered. We introduce a novel method for the problem, called Pete. Pete is based on permutation testing. The problem is an instance of model (dimension) selection. The proposed(More)
We describe a new method for linkage disequilibrium mapping, Haplotype Pattern Mining (HPM). The method is based on discovering recurrent patterns, inspired by data mining methods. We define a class of useful haplotype patterns in genetic case-control data, and give an algorithm for finding disease-associated haplotypes. The haplotypes are ordered by their(More)
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