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Translating cancer genomics into precision medicine with artificial intelligence: applications, challenges and future perspectives
In the field of cancer genomics, the broad availability of genetic information offered by next-generation sequencing technologies and rapid growth in biomedical publication has led to the advent of the big-data era. Integration of artificial intelligence (AI) approaches such as machine learning, dee...
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| Publicado no: | Hum Genet |
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| Main Authors: | , , , , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Springer Berlin Heidelberg
2019
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6373233/ https://ncbi.nlm.nih.gov/pubmed/30671672 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/s00439-019-01970-5 |
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