Modeling precision treatment of breast cancer

BACKGROUND: First-generation molecular profiles for human breast cancers have enabled the identification of features that can predict therapeutic response; however, little is known about how the various data types can best be combined to yield optimal predictors. Collections of breast cancer cell li...

Descripción completa

Detalles Bibliográficos
Autores principales: Daemen, Anneleen, Griffith, Obi L, Heiser, Laura M, Wang, Nicholas J, Enache, Oana M, Sanborn, Zachary, Pepin, Francois, Durinck, Steffen, Korkola, James E, Griffith, Malachi, Hur, Joe S, Huh, Nam, Chung, Jongsuk, Cope, Leslie, Fackler, Mary Jo, Umbricht, Christopher, Sukumar, Saraswati, Seth, Pankaj, Sukhatme, Vikas P, Jakkula, Lakshmi R, Lu, Yiling, Mills, Gordon B, Cho, Raymond J, Collisson, Eric A, van’t Veer, Laura J, Spellman, Paul T, Gray, Joe W
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2013
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3937590/
https://www.ncbi.nlm.nih.gov/pubmed/24176112
http://dx.doi.org/10.1186/gb-2013-14-10-r110

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3937590/
https://www.ncbi.nlm.nih.gov/pubmed/24176112
http://dx.doi.org/10.1186/gb-2013-14-10-r110

Ejemplares similares