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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Detalles Bibliográficos
Autores principales: 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: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2018
Materias:
Methodology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6302440/
https://www.ncbi.nlm.nih.gov/pubmed/30577736
http://dx.doi.org/10.1186/s12859-018-2508-4

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6302440/
https://www.ncbi.nlm.nih.gov/pubmed/30577736
http://dx.doi.org/10.1186/s12859-018-2508-4

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