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Molecular characterization of breast and lung tumors by integration of multiple data types with functional sparse-factor analysis
Effective cancer treatment is crucially dependent on the identification of the biological processes that drive a tumor. However, multiple processes may be active simultaneously in a tumor. Clustering is inherently unsuitable to this task as it assigns a tumor to a single cluster. In addition, the wi...
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| Publicado no: | PLoS Comput Biol |
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| Main Authors: | , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Public Library of Science
2018
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6231682/ https://ncbi.nlm.nih.gov/pubmed/30379847 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pcbi.1006520 |
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