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Algorithmic methods to infer the evolutionary trajectories in cancer progression

The genomic evolution inherent to cancer relates directly to a renewed focus on the voluminous next-generation sequencing data and machine learning for the inference of explanatory models of how the (epi)genomic events are choreographed in cancer initiation and development. However, despite the incr...

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Detalles Bibliográficos
Publicado en:Proc Natl Acad Sci U S A
Main Authors: Caravagna, Giulio, Graudenzi, Alex, Ramazzotti, Daniele, Sanz-Pamplona, Rebeca, De Sano, Luca, Mauri, Giancarlo, Moreno, Victor, Antoniotti, Marco, Mishra, Bud
Formato: Artigo
Idioma:Inglês
Publicado: National Academy of Sciences 2016
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Acceso en liña:https://ncbi.nlm.nih.gov/pmc/articles/PMC4948322/
https://ncbi.nlm.nih.gov/pubmed/27357673
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1073/pnas.1520213113
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