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The Cancer Cell Line Encyclopedia enables predictive modeling of anticancer drug sensitivity

The systematic translation of cancer genomic data into knowledge of tumor biology and therapeutic avenues remains challenging. Such efforts should be greatly aided by robust preclinical model systems that reflect the genomic diversity of human cancers and for which detailed genetic and pharmacologic...

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Detalles Bibliográficos
Autores principales: Barretina, Jordi, Caponigro, Giordano, Stransky, Nicolas, Venkatesan, Kavitha, Margolin, Adam A., Kim, Sungjoon, Wilson, Christopher J., Lehár, Joseph, Kryukov, Gregory V., Sonkin, Dmitriy, Reddy, Anupama, Liu, Manway, Murray, Lauren, Berger, Michael F., Monahan, John E., Morais, Paula, Meltzer, Jodi, Korejwa, Adam, Jané-Valbuena, Judit, Mapa, Felipa A., Thibault, Joseph, Bric-Furlong, Eva, Raman, Pichai, Shipway, Aaron, Engels, Ingo H., Cheng, Jill, Yu, Guoying K., Yu, Jianjun, Aspesi, Peter, de Silva, Melanie, Jagtap, Kalpana, Jones, Michael D., Wang, Li, Hatton, Charles, Palescandolo, Emanuele, Gupta, Supriya, Mahan, Scott, Sougnez, Carrie, Onofrio, Robert C., Liefeld, Ted, MacConaill, Laura, Winckler, Wendy, Reich, Michael, Li, Nanxin, Mesirov, Jill P., Gabriel, Stacey B., Getz, Gad, Ardlie, Kristin, Chan, Vivien, Myer, Vic E., Weber, Barbara L., Porter, Jeff, Warmuth, Markus, Finan, Peter, Harris, Jennifer L., Meyerson, Matthew, Golub, Todd R., Morrissey, Michael P., Sellers, William R., Schlegel, Robert, Garraway, Levi A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3320027/
https://www.ncbi.nlm.nih.gov/pubmed/22460905
http://dx.doi.org/10.1038/nature11003