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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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Detalhes bibliográficos
Main Authors: 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: Artigo
Idioma:Inglês
Publicado em: 2012
Assuntos:
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC3320027/
https://ncbi.nlm.nih.gov/pubmed/22460905
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/nature11003
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