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We apply our method to data obtained by interrogating the mutational status of p53 in 50 cancer cell lines (33 mutated and 17 normal).
We motivate and apply the proposed method to data from National Health and Nutrition Examination Survey, and illustrate properties of the methods by simulation.
The application of our method to data from 14 populations across the world revealed that positive-selection events tend to cluster in populations of the same ancestry.
We apply the method to data for cystic fibrosis and Huntington disease, for which mutations in disease genes have already been identified.
We applied our method to data on gene expression, rheumatoid arthritis, and type 2 diabetes and overwhelmingly found that the genetic correlation was significantly less than 1.
We apply the method to data from the Wellcome Trust Case Control Consortium and show that a substantial proportion of variation in liability for Crohn disease, bipolar disorder, and type I diabetes is tagged by common SNPs.
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We adapted the alignment and classification methods to data from next-generation sequencing techniques to provide reliable information.
Theory and application of classical and modern multivariate methods to data arising in biology, sociology, economics, engineering and other fields.
In order to model students' happiness, we apply machine learning methods to data collected from undergrad students monitored over the course of one month each.
My research focuses on the predictability and variability of the climate system, with emphasis on the application of statistical methods to data from observations and numerical models.
Finally, these contributions applied PLS methods to data originating from the traditional econometric/economic data to genomics data, brain images, information systems, epidemiology, and chemical spectroscopy.
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