Controlling technical variation amongst 6693 patient microarrays of the randomized MINDACT trial

Gene expression data obtained in large studies hold great promises for discovering disease signatures or subtypes through data analysis. It is also prone to technical variation, whose removal is essential to avoid spurious discoveries. Because this variation is not always known and can be confounded...

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Detalles Bibliográficos
Autores principales: Jacob, Laurent, Witteveen, Anke, Beumer, Inès, Delahaye, Leonie, Wehkamp, Diederik, van den Akker, Jeroen, Snel, Mireille, Chan, Bob, Floore, Arno, Bakx, Niels, Brink, Guido, Poncet, Coralie, Bogaerts, Jan, Delorenzi, Mauro, Piccart, Martine, Rutgers, Emiel, Cardoso, Fatima, Speed, Terence, van ’t Veer, Laura, Glas, Annuska
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7385160/
https://www.ncbi.nlm.nih.gov/pubmed/32719399
http://dx.doi.org/10.1038/s42003-020-1111-1

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7385160/
https://www.ncbi.nlm.nih.gov/pubmed/32719399
http://dx.doi.org/10.1038/s42003-020-1111-1

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