An Integrative Approach for In Silico Glioma Research

The integration of imaging and genomic data is critical to forming a better understanding of disease. Large public datasets, such as The Cancer Genome Atlas, present a unique opportunity to integrate these complementary data types for in silico scientific research. In this letter, we focus on the as...

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Autors principals: Cooper, Lee A. D., Kong, Jun, Gutman, David A., Wang, Fusheng, Cholleti, Sharath R., Pan, Tony C., Widener, Patrick M., Sharma, Ashish, Mikkelsen, Tom, Flanders, Adam E., Rubin, Daniel L., Van Meir, Erwin G., Kurc, Tahsin M., Moreno, Carlos S., Brat, Daniel J., Saltz, Joel H.
Format: Artigo
Idioma:Inglês
Publicat: 2010
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Article
Accés en línia:https://ncbi.nlm.nih.gov/pmc/articles/PMC3289150/
https://ncbi.nlm.nih.gov/pubmed/20656651
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/TBME.2010.2060338
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