PvSeroApp: A Sero-Surveillance Tool

This R Shiny Application is a sero-surveillance tool to streamline the processing of raw serological data generated from a multiplex serological assay, generate quality control reports and then apply a machine learning model to classify the sero-status of individuals.

Graphical Overview of the Web Application

Key R Packages used in the Development of this Application:

• shiny
• shiny.fluent
• tidymodels
• tidyverse
• readxl
• plotly
• janitor
• DT
• rmarkdown

Important Links

For any questions or comments on the GitHub source code, please see the PvSeroApp GitHub repository.

If you are interested in PvSeroTaT as a sero-surveillance tool please email Rhea Longley or Ivo Mueller.