CANDLE/Supervisor: a workflow framework for machine learning applied to cancer research

BACKGROUND: Current multi-petaflop supercomputers are powerful systems, but present challenges when faced with problems requiring large machine learning workflows. Complex algorithms running at system scale, often with different patterns that require disparate software packages and complex data flow...

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Detalhes bibliográficos
Publicado no:BMC Bioinformatics
Main Authors: Wozniak, Justin M., Jain, Rajeev, Balaprakash, Prasanna, Ozik, Jonathan, Collier, Nicholson T., Bauer, John, Xia, Fangfang, Brettin, Thomas, Stevens, Rick, Mohd-Yusof, Jamaludin, Cardona, Cristina Garcia, Essen, Brian Van, Baughman, Matthew
Formato: Artigo
Idioma:Inglês
Publicado em: BioMed Central 2018
Assuntos:
Methodology
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC6302440/
https://ncbi.nlm.nih.gov/pubmed/30577736
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12859-018-2508-4
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