In silico modeling predicts drug sensitivity of patient-derived cancer cells

BACKGROUND: Glioblastoma (GBM) is an aggressive disease associated with poor survival. It is essential to account for the complexity of GBM biology to improve diagnostic and therapeutic strategies. This complexity is best represented by the increasing amounts of profiling (“omics”) data available du...

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Detalles Bibliográficos
Autores principales: Pingle, Sandeep C, Sultana, Zeba, Pastorino, Sandra, Jiang, Pengfei, Mukthavaram, Rajesh, Chao, Ying, Bharati, Ila Sri, Nomura, Natsuko, Makale, Milan, Abbasi, Taher, Kapoor, Shweta, Kumar, Ansu, Usmani, Shahabuddin, Agrawal, Ashish, Vali, Shireen, Kesari, Santosh
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2014
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4030016/
https://www.ncbi.nlm.nih.gov/pubmed/24884660
http://dx.doi.org/10.1186/1479-5876-12-128

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4030016/
https://www.ncbi.nlm.nih.gov/pubmed/24884660
http://dx.doi.org/10.1186/1479-5876-12-128

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