IDACombo Shiny App
IDACombo Shiny App predicts drug combination efficacy using monotherapy response data and the Independent Drug Action (IDA) model.
Key Features:
- Monotherapy-based prediction: Generates efficacy predictions for drug combinations using only single-agent response data.
- Integrated cell line screen data: Includes provided data from several high-throughput cell line screens for immediate analysis.
- Custom data support: Accepts user-provided monotherapy data for generating combination predictions.
Scientific Applications:
- Cancer drug combination development: Supports researchers in identifying novel drug combinations for cancer treatment.
- Clinical trial prediction: Provides predictions that have shown strong agreement with measured drug combination efficacy in clinical trials.
- In vitro combination screening: Enables prediction of combination efficacy validated against in vitro measurements.
Methodology:
IDACombo applies the assumptions of independent drug action to monotherapy response data to predict combination efficacy.
Topics
Details
- Programming Languages:
- R
- Added:
- 1/14/2026
- Last Updated:
- 1/14/2026