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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....
| Autores principales: | , , , , , , , , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2019
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6737594/ https://www.ncbi.nlm.nih.gov/pubmed/31506093 http://dx.doi.org/10.1186/s13059-019-1794-0 |