Structured, sparse regression with application to HIV drug resistance release_4axyujuiorhtblougd7olm2i34

by Daniel Percival, Kathryn Roeder, Roni Rosenfeld, Larry Wasserman

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2011  

Abstract

We introduce a new version of forward stepwise regression. Our modification finds solutions to regression problems where the selected predictors appear in a structured pattern, with respect to a predefined distance measure over the candidate predictors. Our method is motivated by the problem of predicting HIV-1 drug resistance from protein sequences. We find that our method improves the interpretability of drug resistance while producing comparable predictive accuracy to standard methods. We also demonstrate our method in a simulation study and present some theoretical results and connections.
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Type  report
Stage   accepted
Date   2011-08-01
Version   v3
Language   en ?
Number  IMS-AOAS-AOAS428
arXiv  1002.3128v3
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