More than 200 mutations are associated with antiretroviral resistance to drugs belonging to
six licensed antiretroviral classes. More than 50 reverse transcriptase mutations are …

The HIV-1 integrase, responsible for the chromosomal integration of the newly synthesized
doublestranded viral DNA into the host genomic DNA, represents a new and important …

In many fields of science, we observe a response variable together with a large number of
potential explanatory variables, and would like to be able to discover which variables are …

We add a set of convex constraints to the lasso to produce sparse interaction models that
honor the hierarchy restriction that an interaction only be included in a model if one or both …

When trying to learn a model for the prediction of an outcome given a set of covariates, a
statistician has many estimation procedures in their toolbox. A few examples of these …

Deep learning has become increasingly popular in both supervised and unsupervised
machine learning thanks to its outstanding empirical performance. However, because of …

This article introduces a machine for sampling approximate model-X knockoffs for arbitrary
and unspecified data distributions using deep generative models. The main idea is to …

Treatment with HIV-1 protease inhibitors, a component of highly active antiretroviral therapy
(HAART), often results in viral resistance. Structural and biochemical characterization of a …

The effects of many protease inhibitor (PI)-selected mutations on the susceptibility to
individual PIs are unknown. We analyzed in vitro susceptibility test results on 2,725 HIV-1 …

Linear regression models are traditionally built through trial and error to balance many
competing goals such as predictive power, interpretability, significance, robustness to error …