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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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| Опубликовано в: : | Proc Natl Acad Sci U S A |
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| Главные авторы: | , , , , , , , , |
| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
National Academy of Sciences
2016
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| Предметы: | |
| Online-ссылка: | 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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