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Integration of network biology and imaging to study cancer phenotypes and responses
Ever growing “omics” data and continuously accumulated biological knowledge provide an unprecedented opportunity to identify molecular biomarkers and their interactions that are responsible for cancer phenotypes that can be accurately defined by clinical measurements such as in vivo imaging. Since s...
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| Publicado no: | IEEE/ACM Trans Comput Biol Bioinform |
|---|---|
| Main Authors: | , , , , , , , , , , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2014
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4348060/ https://ncbi.nlm.nih.gov/pubmed/25750594 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/TCBB.2014.2338304 |
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