title: SynergyFinder: a web application for analyzing drug combination dose-response matrix data.
abstract: CONCLUSIONS
  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.
  
  
  METHODS
  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 .
  
  
  BACKGROUND
  jing.tang@helsinki.fi.
authors.affiliation: Institute for Molecular Medicine Finland (FIMM), University of Helsinki, FI-00290 Helsinki, Finland.
authors.forename: Aleksandr
authors.initials: A
authors.lastname: Ianevski
authors.affiliation: Institute for Molecular Medicine Finland (FIMM), University of Helsinki, FI-00290 Helsinki, Finland.
authors.forename: Liye
authors.initials: L
authors.lastname: He
authors.affiliation: Institute for Molecular Medicine Finland (FIMM), University of Helsinki, FI-00290 Helsinki, Finland.|Department of Mathematics and Statistics, University of Turku, Quantum, FI-20014 Turku, Finland.
authors.forename: Tero
authors.initials: T
authors.lastname: Aittokallio
authors.affiliation: Institute for Molecular Medicine Finland (FIMM), University of Helsinki, FI-00290 Helsinki, Finland.|Department of Mathematics and Statistics, University of Turku, Quantum, FI-20014 Turku, Finland.
authors.forename: Jing
authors.initials: J
authors.lastname: Tang
mesh_terms: D019295:Computational Biology / Q000379:methods*; D004338:Drug Combinations; D004357:Drug Synergism; D006801:Humans; D008954:Models, Biological; D012984:Software
chemical_list: D004338:Drug Combinations