Opportunities and obstacles for deep learning in biology and medicine

Deep learning describes a class of machine learning algorithms that are capable of combining raw inputs into layers of intermediate features. These algorithms have recently shown impressive results across a variety of domains. Biology and medicine are data-rich disciplines, but the data are complex...

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Detalhes bibliográficos
Publicado no:J R Soc Interface
Main Authors: Ching, Travers, Himmelstein, Daniel S., Beaulieu-Jones, Brett K., Kalinin, Alexandr A., Do, Brian T., Way, Gregory P., Ferrero, Enrico, Agapow, Paul-Michael, Zietz, Michael, Hoffman, Michael M., Xie, Wei, Rosen, Gail L., Lengerich, Benjamin J., Israeli, Johnny, Lanchantin, Jack, Woloszynek, Stephen, Carpenter, Anne E., Shrikumar, Avanti, Xu, Jinbo, Cofer, Evan M., Lavender, Christopher A., Turaga, Srinivas C., Alexandari, Amr M., Lu, Zhiyong, Harris, David J., DeCaprio, Dave, Qi, Yanjun, Kundaje, Anshul, Peng, Yifan, Wiley, Laura K., Segler, Marwin H. S., Boca, Simina M., Swamidass, S. Joshua, Huang, Austin, Gitter, Anthony, Greene, Casey S.
Formato: Artigo
Idioma:Inglês
Publicado em: The Royal Society 2018
Assuntos:
Review Articles
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC5938574/
https://ncbi.nlm.nih.gov/pubmed/29618526
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1098/rsif.2017.0387
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