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Some Recent Statistical Learning Methods For Longitudinal High-dimensional Data: Recent Statistical Learning Methods

S. Chen, E. Grant, T. Wu, F. Bowman
Published 2014 · Computer Science

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Recent studies have collected high-dimensional data longitudinally. Examples include brain images collected during different scanning sessions and time-course gene expression data. Because of the additional information learned from the temporal changes of the selected features, such longitudinal high-dimensional data, when incorporated with appropriate statistical learning techniques, are able to more accurately predict disease status or responses to a therapeutic treatment. In this article, we review recently proposed statistical learning methods dealing with longitudinal high-dimensional data.
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