cellviability

An R toolkit for analyzing cell viability experiments

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cellviability is designed to facilitate the analysis of cell-based drug screening experiments. The package provides functions for fitting dose-response models, estimating IC50 values, visualizing regression curves, comparing treatment groups, and evaluating drug synergy using commonly used pharmacological models.

Nguyen, Y. T.-K., Le-Huynh, T.-L., & Theilgaard-Monch, K. (2026). cellviability (Version v0.1.3) [Computer software]. Zenodo. https://doi.org/10.5281/zenodo.21820265

Installation

To get the latest in-development features, install the development version from GitHub:

if (!requireNamespace("devtools", quietly = TRUE)) {
  install.packages("devtools")
}

devtools::install_github("yen-kim/cellviability")

This package is also accessible for download via Zenodo at 10.5281/zenodo.21820265.

Features

  • Fit four-parameter log-logistic (4PL) dose-response models
  • Estimate IC50 values for single and multiple samples
  • Generate publication-ready dose-response plots
  • Compare cell viability across treatment groups
  • Calculate global and pairwise p-values
  • Add IC50 and p-value annotations to plots
  • Evaluate drug-combination synergy (using ZIP, HSA, Bliss, Loewe)