Statistics Papers
Title
A Spatially Varying Two-Sample Recombinant Coalescent, With Applications to HIV Escape Response
Document Type
Conference Paper
Date of this Version
2008
Publication Source
Advances in Neural Information Processing Systems
Volume
21
Abstract
Statistical evolutionary models provide an important mechanism for describing and understanding the escape response of a viral population under a particular therapy. We present a new hierarchical model that incorporates spatially varying mutation and recombination rates at the nucleotide level. It also maintains sep- arate parameters for treatment and control groups, which allows us to estimate treatment effects explicitly. We use the model to investigate the sequence evolu- tion of HIV populations exposed to a recently developed antisense gene therapy, as well as a more conventional drug therapy. The detection of biologically rele- vant and plausible signals in both therapy studies demonstrates the effectiveness of the method.
Recommended Citation
Braunstein, A., Wei, Z., Jensen, S. T., & McAuliffe, J. D. (2008). A Spatially Varying Two-Sample Recombinant Coalescent, With Applications to HIV Escape Response. Advances in Neural Information Processing Systems, 21 Retrieved from https://repository.upenn.edu/statistics_papers/464
Date Posted: 27 November 2017