A hierarchical semiparametric regression model for combining HIV-1 phylogenetic analyses using iterative reweighting algorithms.

A hierarchical semiparametric regression model for combining HIV-1 phylogenetic analyses using iterative reweighting algorithms. Research Abstract Details 

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A hierarchical semiparametric regression model for combining HIV-1 phylogenetic analyses using iterative reweighting algorithms. Abstract Text:

Li-Jung Liang,Robert E Weiss,

Phylogenetic modeling is computationally challenging and most phylogeny models fit a single phylogeny to a single set of molecular sequences. Individual phylogenetic analyses are typically performed independently using publicly available software that fits a computationally intensive Bayesian model using Markov chain Monte Carlo (MCMC) simulation. We develop a Bayesian hierarchical semiparametric regression model to combine multiple phylogenetic analyses of HIV-1 nucleotide sequences and estimate parameters of interest within and across analyses. We use a mixture of Dirichlet processes as a prior for the parameters to relax inappropriate parametric assumptions and to ensure the prior distribution for the parameters is continuous. We use several reweighting algorithms for combining completed MCMC analyses to shrink parameter estimates while adjusting for data set-specific covariates. This avoids constructing a large complex model involving all the original data, which would be computationally challenging and would require rewriting the existing stand-alone software.

A hierarchical semiparametric regression model for combining HIV-1 phylogenetic analyses using iterative reweighting algorithms. Publishing Authors By Initials

LJ Liang,RE Weiss,

For similar genetic phenomena: variation (genetics) research abstracts see: genetic phenomena: variation (genetics) research

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A hierarchical semiparametric regression model for combining HIV-1 phylogenetic analyses using iterative reweighting algorithms. Journal Published:

PUBLICATION TYPE: Research Support, Non-U.S. Gov

Journal: Biometrics

VOLUME: 63

Page Numbers: 733-41

Journal Abbreviation: Biometrics

ISSN: 0006-341X

DAY: 3

MONTH: Sep

YEAR: 2007

A hierarchical semiparametric regression model for combining HIV-1 phylogenetic analyses using iterative reweighting algorithms. Information

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LANGUAGE: eng

NlmUniqueID: 370625

A hierarchical semiparametric regression model for combining HIV-1 phylogenetic analyses using iterative reweighting algorithms. Keywords Mesh Terms:

KEYWORDS: Variation (Genetics)

MESH TERMS: genetics

Chemical & Substance for Abstract: A hierarchical semiparametric regression model for combining HIV-1 phylogenetic analyses using iterative reweighting algorithms. Information

Substance Name: DNA, Viral

Registry Number: 0

Grant and Affiliation Information for A hierarchical semiparametric regression model for combining HIV-1 phylogenetic analyses using iterative reweighting algorithms.

AFFILIATION: Department of Biostatistics, UCLA School of Public Health, Los Angeles, California 90095-1772, USA. liangl@ucla.edu

Country: United States

AGENCY: United States NIAID

GRANT: T32AI007307

ACRONYM: AI

MEDLINETA: Biometrics

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