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Prediction of inherited genomic susceptibility to 20 common cancer types by a supervised machine-learning method
Prevention and early intervention are the most effective ways of avoiding or minimizing psychological, physical, and financial suffering from cancer. However, such proactive action requires the ability to predict the individual’s susceptibility to cancer with a measure of probability. Of the triad o...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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National Academy of Sciences
2018
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5819441/ https://www.ncbi.nlm.nih.gov/pubmed/29358382 http://dx.doi.org/10.1073/pnas.1717960115 |