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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...
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 |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2014
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Materias: | |
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 |
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