ushr
ushr models longitudinal HIV viral-load decline during antiretroviral therapy (ART) using a biphasic exponential decay framework to estimate biological parameters such as infected-cell lifespans and time to viral suppression.
Key Features:
- Modeling Framework: Implements the canonical biphasic exponential decay model for HIV viral-load dynamics during ART to estimate lifespans of short- and long-lived infected cells and viral decay rates.
- Data Processing Tools: Provides functions to preprocess and format clinical longitudinal viral-load data for computational analysis and model fitting.
- Parameter Estimation: Fits longitudinal viral-load measurements to infer parameters including infected-cell lifespans, decay rates, and time to suppression below detection thresholds.
- Visualization and Summary Tools: Generates visualizations and summary outputs of fitted models and parameter estimates for assessment of model fit and viral dynamics.
Scientific Applications:
- Clinical HIV dynamics analysis: Quantitative analysis of longitudinal viral-load data from patients on ART to characterize viral decay kinetics.
- Parameter inference for biological insight: Estimation of infected-cell lifespans and decay rates to inform studies of viral persistence and treatment effects.
- Prediction of suppression timelines: Prediction of time to viral suppression below specified detection thresholds for individuals or cohorts.
Methodology:
Fitting longitudinal viral-load measurements to a biphasic exponential decay model to estimate decay rates and infected-cell lifespans.
Topics
Details
- License:
- MIT
- Programming Languages:
- R
- Added:
- 1/18/2021
- Last Updated:
- 3/10/2021
Operations
Publications
Morris SE, Dziobek-Garrett L, Yates AJ, collaboration with the EPIICAL Cons i. ushr: Understanding suppression of HIV in R. BMC Bioinformatics. 2020;21(1). doi:10.1186/s12859-020-3389-x. PMID:32046642. PMCID:PMC7014720.