Introducing the aNCA Package for Automated Non-Compartmental Analysis
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What is aNCA?
The aNCA package is an open source tool developed in collaboration between Roche, Appsilon, and Human Predictions. This new addition to the pharmaverse is designed to simplify Non-Compartmental Analysis (NCA), making it more accessible for all scientists across industries.
The aNCA package empowers users to:
- Perform NCA on both non-clinical and clinical data
- Automatically calculate PK parameters for various dosing regimens
- Conduct manual selections and exclusions for lambda-z regression
- Visualize results dynamically with editable plots and summary tables
- Export PK parameters into a comprehensive, ready-to-use reports
This tool is built using shiny with user-friendliness in mind, allowing both novice and experienced users to seamlessly integrate it into their workflows.
Get Started!
To try out the package, head to the GitHub repository and follow the installation steps. There you can also find how to contribute or share feedback with us (don’t forget to star the project if you like it!). Let’s keep pushing the boundaries of open-source tools!
Last updated
2025-01-21 14:38:27.647275
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Citation
BibTeX citation:
@online{suekuer,_jana_spinner,_gerardo_r2024,
author = {Suekuer, Jana Spinner, Gerardo R, Ercan},
title = {Introducing the {aNCA} {Package} for {Automated}
{Non-Compartmental} {Analysis}},
date = {2024-12-02},
url = {https://pharmaverse.github.io/blog/posts/2024-12-02_a_nca/a_nca.html},
langid = {en}
}
For attribution, please cite this work as:
Suekuer, Jana Spinner, Gerardo R, Ercan. 2024. “Introducing the
aNCA Package for Automated Non-Compartmental Analysis.” December
2, 2024. https://pharmaverse.github.io/blog/posts/2024-12-02_a_nca/a_nca.html.
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