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Albin Johanssons stiftelse sr Foundation"},{"DOI":"10.13039\/100008730","name":"Norwegian Cancer Society","doi-asserted-by":"publisher","award":["216104"],"award-info":[{"award-number":["216104"]}],"id":[{"id":"10.13039\/100008730","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Fuugin foundation"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2022,7,5]]},"abstract":"<jats:title>Abstract<\/jats:title>\n               <jats:p>SynergyFinder (https:\/\/synergyfinder.fimm.fi) is a free web-application for interactive analysis and visualization of multi-drug combination response data. Since its first release in 2017, SynergyFinder has become a popular tool for multi-dose combination data analytics, partly because the development of its functionality and graphical interface has been driven by a diverse user community, including both chemical biologists and computational scientists. Here, we describe the latest upgrade of this community-effort, SynergyFinder release 3.0, introducing a number of novel features that support interactive multi-sample analysis of combination synergy, a novel consensus synergy score that combines multiple synergy scoring models, and an improved outlier detection functionality that eliminates false positive results, along with many other post-analysis options such as weighting of synergy by drug concentrations and distinguishing between different modes of synergy (potency and efficacy). Based on user requests, several additional improvements were also implemented, including new data visualizations and export options for multi-drug combinations. With these improvements, SynergyFinder 3.0 supports robust identification of consistent combinatorial synergies for multi-drug combinatorial discovery and clinical translation.<\/jats:p>","DOI":"10.1093\/nar\/gkac382","type":"journal-article","created":{"date-parts":[[2022,4,29]],"date-time":"2022-04-29T19:21:30Z","timestamp":1651260090000},"page":"W739-W743","source":"Crossref","is-referenced-by-count":779,"title":["SynergyFinder 3.0: an interactive analysis and consensus interpretation of multi-drug synergies across multiple samples"],"prefix":"10.1093","volume":"50","author":[{"given":"Aleksandr","family":"Ianevski","sequence":"first","affiliation":[{"name":"Institute for Molecular Medicine Finland (FIMM), HiLIFE, University of Helsinki , Finland"},{"name":"Helsinki Institute for Information Technology (HIIT), Aalto University , Finland"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Anil K","family":"Giri","sequence":"additional","affiliation":[{"name":"Institute for Molecular Medicine Finland (FIMM), HiLIFE, University of Helsinki , Finland"},{"name":"Foundation for the Finnish Cancer Institute (FCI), University of Helsinki , Finland"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0886-9769","authenticated-orcid":false,"given":"Tero","family":"Aittokallio","sequence":"additional","affiliation":[{"name":"Institute for Molecular Medicine Finland (FIMM), HiLIFE, University of Helsinki , Finland"},{"name":"Helsinki Institute for Information Technology (HIIT), Aalto University , Finland"},{"name":"Institute for Cancer Research, Department of Cancer Genetics, Oslo University Hospital , Norway"},{"name":"Centre for Biostatistics and Epidemiology (OCBE), Faculty of Medicine, University of Oslo , Norway"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"286","published-online":{"date-parts":[[2022,5,17]]},"reference":[{"key":"2022070500014097800_B1","doi-asserted-by":"crossref","first-page":"1113","DOI":"10.1161\/CIRCRESAHA.118.313294","article-title":"Two-drug combinations as first-step antihypertensive treatment","volume":"124","author":"Mancia","year":"2019","journal-title":"Circ. 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