Ianevski , A , He , L , Aittokallio , T & Tang , J 2017 , ' SynergyFinder : a web application for analyzing drug combination dose-response matrix data ' , Bioinformatics , vol. 33 , no. 15 , pp. 2413-2415 . https://doi.org/10.1093/bioinformatics/btx162
Title: | SynergyFinder : a web application for analyzing drug combination dose-response matrix data |
Author: | Ianevski, Aleksandr; He, Liye; Aittokallio, Tero; Tang, Jing |
Contributor organization: | University of Helsinki Institute for Molecular Medicine Finland Tero Aittokallio / Principal Investigator Bioinformatics |
Date: | 2017-08-01 |
Language: | eng |
Number of pages: | 3 |
Belongs to series: | Bioinformatics |
ISSN: | 1367-4803 |
DOI: | https://doi.org/10.1093/bioinformatics/btx162 |
URI: | http://hdl.handle.net/10138/209966 |
Abstract: | 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 preclinical 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. |
Subject: |
CANCER
3111 Biomedicine 1182 Biochemistry, cell and molecular biology |
Peer reviewed: | Yes |
Rights: | cc_by_nc |
Usage restriction: | openAccess |
Self-archived version: | publishedVersion |
Total number of downloads: Loading...
Files | Size | Format | View |
---|---|---|---|
btx162.pdf | 144.2Kb |
View/ |