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

Emily Boja; Živana Težak; Bing Zhang; Pei Wang; Elaine Johanson; Denise Hinton; Henry Rodriguez

doi:10.1038/s41591-018-0180-x

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

Emily Boja, Živana Težak, Bing Zhang, Pei Wang, Elaine Johanson, Denise Hinton, Henry Rodriguez

Research output: Contribution to journal › Comment/debate

16 Scopus citations

Abstract

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.

Original language	English
Pages (from-to)	1301-1302
Number of pages	2
Journal	Nature Medicine
Volume	24
Issue number	9
DOIs	https://doi.org/10.1038/s41591-018-0180-x
State	Published - 1 Sep 2018

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abstract = "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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AU - Wang, Pei

AU - Johanson, Elaine

AU - Hinton, Denise

AU - Rodriguez, Henry

PY - 2018/9/1

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

Abstract

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