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We have developed a novel index to select the sequences appropriate for the identification of conserved residues, and implemented the index within our method to predict the functional regions of a protein. The implementation of the index improved the performance of the functional region prediction. We propose a bayesian method for functional regression to select local regions on functional predictors that are relevant to a scalar response.
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The region selection is achieved through sparse estimation of the regression coefficient function. We show functional regions for a variety of everyday objects, visualized as translucent polygons. We derive these region labels by rst annotating objects with functional landmarks that dene polygon corners. We show functional regions for a variety of everyday objects, visualized as translucent polygons.
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We derive these region labels by rst annotating objects with functional landmarks that dene polygon corners.
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