Joint Nonlinear Association and Prediction of Multi-view Data

Dr. Sandra Safo’s research interests are in developing statistical methods and computational tools to help identify risk factors for complex diseases: multivariate statistical methods, statistical learning (including classification, discriminant analysis, association studies), data integration and feature selection methods for high dimensional data; currently integrative analysis of genomics, transcriptomics and metabolomics to help elucidate the complex interactions of these multifaceted data types.

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