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SynergyFinder Plus:Toward Better Interpretation and Annotation of Drug Combination Screening Datasets 被引量:2
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作者 Shuyu Zheng Wenyu Wang +5 位作者 Jehad Aldahdooh Alina Malyutina tolou shadbahr Ziaurrehman Tanoli Alberto Pessia Jing Tang 《Genomics, Proteomics & Bioinformatics》 SCIE CAS CSCD 2022年第3期587-596,共10页
Combinatorial therapies have been recently proposed to improve the efficacy of anticancer treatment. The Synergy Finder R package is a software used to analyze pre-clinical drug combination datasets. Here, we report t... Combinatorial therapies have been recently proposed to improve the efficacy of anticancer treatment. The Synergy Finder R package is a software used to analyze pre-clinical drug combination datasets. Here, we report the major updates to the Synergy Finder R package for improved interpretation and annotation of drug combination screening results. Unlike the existing implementations, the updated Synergy Finder R package includes five main innovations. 1) We extend the mathematical models to higher-order drug combination data analysis and implement dimension reduction techniques for visualizing the synergy landscape. 2) We provide a statistical analysis of drug combination synergy and sensitivity with confidence intervals and P values. 3)We incorporate a synergy barometer to harmonize multiple synergy scoring methods to provide a consensus metric for synergy. 4) We evaluate drug combination synergy and sensitivity to provide an unbiased interpretation of the clinical potential. 5) We enable fast annotation of drugs and cell lines, including their chemical and target information. These annotations will improve the interpretation of the mechanisms of action of drug combinations. To facilitate the use of the R package within the drug discovery community, we also provide a web server at www.s ynergyfinderplus.org as a user-friendly interface to enable a more fexible and versatile analysis of drug combination data. 展开更多
关键词 SynergyFinder Drug combination Synergy modeling Drug discovery Drug combination sensitivity analysis
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