Right data for right patient—a precisionFDA NCI–CPTAC Multi-omics Mislabeling Challenge

To address a critical roadblock that can occur in translational and clinical research, the National Cancer Institute and the Food and Drug Administration, in coordination with the DREAM Challenges, are launching the first computational challenge using multi-omics datasets to detect and correct speci...

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Detalles Bibliográficos
Autores principales: Boja, Emily, Težak, Živana, Zhang, Bing, Wang, Pei, Johanson, Elaine, Hinton, Denise, Rodriguez, Henry
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group US 2018
Materias:
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Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6892367/
https://www.ncbi.nlm.nih.gov/pubmed/30194412
http://dx.doi.org/10.1038/s41591-018-0180-x
Descripción
Sumario:To address a critical roadblock that can occur in translational and clinical research, the National Cancer Institute and the Food and Drug Administration, in coordination with the DREAM Challenges, are launching the first computational challenge using multi-omics datasets to detect and correct specimen mislabeling.

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