Machine learning multi-omics analysis reveals cancer driver dysregulation in pan-cancer cell lines compared to primary tumors

Cancer cell lines have been widely used for decades to study biological processes driving cancer development, and to identify biomarkers of response to therapeutic agents. Advances in genomic sequencing have made possible large-scale genomic characterizations of collections of cancer cell lines and...

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Detalles Bibliográficos
Autores principales: Sanders, Lauren M., Chandra, Rahul, Zebarjadi, Navid, Beale, Holly C., Lyle, A. Geoffrey, Rodriguez, Analiz, Kephart, Ellen Towle, Pfeil, Jacob, Cheney, Allison, Learned, Katrina, Currie, Rob, Gitlin, Leonid, Vengerov, David, Haussler, David, Salama, Sofie R., Vaske, Olena M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9747808/
https://www.ncbi.nlm.nih.gov/pubmed/36513728
http://dx.doi.org/10.1038/s42003-022-04075-4

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9747808/
https://www.ncbi.nlm.nih.gov/pubmed/36513728
http://dx.doi.org/10.1038/s42003-022-04075-4

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