Summary: Combinations of multiple pharmacological agents can achieve a substantial benefit over treatment with single agents alone. Combinations that achieve 'more than the sum of their parts' are called synergistic. There have been many proposed frameworks to understand and quantify drug combination synergy with different assumptions and domains of applicability. We introduce here synergy, a Python library that (i) implements a broad array of popular synergy models, (ii) provides tools for evaluating confidence intervals and conducting power analysis and (iii) provides standardized tools to analyze and visualize drug combinations and their synergies and antagonisms.
|Subtitle||A Python library for calculating, analyzing and visualizing drug combination synergy|
|License||In Copyright (Rights Reserved)|
|Publication Date||May 15, 2021|
|Publisher Identifier (DOI)||
|Deposited||August 01, 2022|
This resource is currently not in any collection.