Reproducible biomedical benchmarking in the cloud: lessons from crowd-sourced data challenges

Challenges are achieving broad acceptance for addressing many biomedical questions and enabling tool assessment. But ensuring that the methods evaluated are reproducible and reusable is complicated by the diversity of software architectures, input and output file formats, and computing environments....

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Salvato in:
Dettagli Bibliografici
Pubblicato in:Genome Biol
Autori principali: Ellrott, Kyle, Buchanan, Alex, Creason, Allison, Mason, Michael, Schaffter, Thomas, Hoff, Bruce, Eddy, James, Chilton, John M., Yu, Thomas, Stuart, Joshua M., Saez-Rodriguez, Julio, Stolovitzky, Gustavo, Boutros, Paul C., Guinney, Justin
Natura: Artigo
Lingua:Inglês
Pubblicazione: BioMed Central 2019
Soggetti:
Open Letter
Accesso online:https://ncbi.nlm.nih.gov/pmc/articles/PMC6737594/
https://ncbi.nlm.nih.gov/pubmed/31506093
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s13059-019-1794-0
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