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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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:
Comment
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
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author Boja, Emily
Težak, Živana
Zhang, Bing
Wang, Pei
Johanson, Elaine
Hinton, Denise
Rodriguez, Henry
author_facet Boja, Emily
Težak, Živana
Zhang, Bing
Wang, Pei
Johanson, Elaine
Hinton, Denise
Rodriguez, Henry
author_sort Boja, Emily
collection PubMed
description 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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spelling pubmed-68923672019-12-06 Right data for right patient—a precisionFDA NCI–CPTAC Multi-omics Mislabeling Challenge Boja, Emily Težak, Živana Zhang, Bing Wang, Pei Johanson, Elaine Hinton, Denise Rodriguez, Henry Nat Med Comment 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. Nature Publishing Group US 2018-09-07 2018 /pmc/articles/PMC6892367/ /pubmed/30194412 http://dx.doi.org/10.1038/s41591-018-0180-x Text en © Springer Nature America, Inc. 2018 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Comment
Boja, Emily
Težak, Živana
Zhang, Bing
Wang, Pei
Johanson, Elaine
Hinton, Denise
Rodriguez, Henry
Right data for right patient—a precisionFDA NCI–CPTAC Multi-omics Mislabeling Challenge
title Right data for right patient—a precisionFDA NCI–CPTAC Multi-omics Mislabeling Challenge
title_full Right data for right patient—a precisionFDA NCI–CPTAC Multi-omics Mislabeling Challenge
title_fullStr Right data for right patient—a precisionFDA NCI–CPTAC Multi-omics Mislabeling Challenge
title_full_unstemmed Right data for right patient—a precisionFDA NCI–CPTAC Multi-omics Mislabeling Challenge
title_short Right data for right patient—a precisionFDA NCI–CPTAC Multi-omics Mislabeling Challenge
title_sort right data for right patient—a precisionfda nci–cptac multi-omics mislabeling challenge
topic Comment
url 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
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