ushr: Understanding suppression of HIV in R

Tags: , , | February 28th, 2020

Authors: Morris SE, Dziobek-Garrett L, Yates AJ and the EPIICAL consortium

Published in: BMC Bioinformatics 2020;21(1):52

Background HIV/AIDS is responsible for the deaths of one million people every year. Although mathematical modeling has provided many insights into the dynamics of HIV infection, there is still a lack of accessible tools for researchers unfamiliar with modeling techniques to apply them to their own clinical data.


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