Cargando…
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...
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: | |
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 |
Ejemplares similares
-
Identification of a differentiation stall in epithelial mesenchymal transition in histone H3–mutant diffuse midline glioma
por: Sanders, Lauren M, et al.
Publicado: (2020) -
Barriers to accessing public cancer genomic data
por: Learned, Katrina, et al.
Publicado: (2019) -
317 Omics based analysis to identify novel markers of TMZ response in Glioblastoma Multiforme
por: Reed, Megan R., et al.
Publicado: (2023) -
The case for using mapped exonic non-duplicate reads when reporting RNA-sequencing depth: examples from pediatric cancer datasets
por: Beale, Holly C, et al.
Publicado: (2021) -
Comparative RNA-seq analysis aids in diagnosis of a rare pediatric tumor
por: Sanders, Lauren M., et al.
Publicado: (2019)