Crowdsourcing for translational research: analysis of biomarker expression using cancer microarrays

BACKGROUND: Academic pathology suffers from an acute and growing lack of workforce resource. This especially impacts on translational elements of clinical trials, which can require detailed analysis of thousands of tissue samples. We tested whether crowdsourcing – enlisting help from the public – is...

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Detalles Bibliográficos
Autores principales: Lawson, Jonathan, Robinson-Vyas, Rupesh J, McQuillan, Janette P, Paterson, Andy, Christie, Sarah, Kidza-Griffiths, Matthew, McDuffus, Leigh-Anne, Moutasim, Karwan A, Shaw, Emily C, Kiltie, Anne E, Howat, William J, Hanby, Andrew M, Thomas, Gareth J, Smittenaar, Peter
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2017
Materias:
Molecular Diagnostics
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5243992/
https://www.ncbi.nlm.nih.gov/pubmed/27959886
http://dx.doi.org/10.1038/bjc.2016.404

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5243992/
https://www.ncbi.nlm.nih.gov/pubmed/27959886
http://dx.doi.org/10.1038/bjc.2016.404

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