SynergyFinder: a web application for analyzing drug combination dose–response matrix data 论文

2017Bioinformatics引用 561顶会
Statistical Methods in Clinical TrialsComputational Drug Discovery MethodsAdvanced Causal Inference Techniques

详细信息

发表期刊/会议
Bioinformatics
发表日期
2017-03-21
发表年份
2017

关键词

Statistical Methods in Clinical TrialsComputational Drug Discovery MethodsAdvanced Causal Inference Techniques

摘要

SUMMARY: Rational design of drug combinations has become a promising strategy to tackle the drug sensitivity and resistance problem in cancer treatment. To systematically evaluate the pre-clinical significance of pairwise drug combinations, functional screening assays that probe combination effects in a dose-response matrix assay are commonly used. To facilitate the analysis of such drug combination experiments, we implemented a web application that uses key functions of R-package SynergyFinder, and provides not only the flexibility of using multiple synergy scoring models, but also a user-friendly interface for visualizing the drug combination landscapes in an interactive manner. AVAILABILITY AND IMPLEMENTATION: The SynergyFinder web application is freely accessible at https://synergyfinder.fimm.fi ; The R-package and its source-code are freely available at http://bioconductor.org/packages/release/bioc/html/synergyfinder.html . CONTACT: jing.tang@helsinki.fi.