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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Detalles Bibliográficos
Autores principales: Xu, Jia, Yang, Pengwei, Xue, Shang, Sharma, Bhuvan, Sanchez-Martin, Marta, Wang, Fang, Beaty, Kirk A., Dehan, Elinor, Parikh, Baiju
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2019
Materias:
Review
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6373233/
https://www.ncbi.nlm.nih.gov/pubmed/30671672
http://dx.doi.org/10.1007/s00439-019-01970-5

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6373233/
https://www.ncbi.nlm.nih.gov/pubmed/30671672
http://dx.doi.org/10.1007/s00439-019-01970-5

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