Structured, sparse regression with application to HIV drug resistance

Details Structured, sparse regression with application to HIV drug resistance Structured, sparse regression with application to HIV drug resistance

2010-02-16

arxiv.org/abs/1002.3128v3

Annals of Applied Statistics 2011, Vol. 5, No. 2A, 628-644

Statistics

Methodology

Published in at http://dx.doi.org/10.1214/10-AOAS428 the Annals of Applied Statistics (http://www.imstat.org/aoas/) by the Ins

Scientific paper

10.1214/10-AOAS428

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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