Deep learning in bioinformatics and biomedicine
Author:
Affiliation:
1. Data Science Laboratory, Department of Information and Communications Engineering, Tokyo Institute of Technology, Ookayama, Tokyo 152-8550, Japan
2. Freelance Data Scientist, Meitingen, Germany
Funder
National Institutes of Health
Publisher
Oxford University Press (OUP)
Subject
Molecular Biology,Information Systems
Link
http://academic.oup.com/bib/article-pdf/22/2/1513/40492083/bbab087.pdf
Reference11 articles.
1. Learning deep architectures for AI;Bengio;Found Trends Mach Learn,2009
2. Opportunities and obstacles for deep learning in biology and medicine;Ching;J R Soc Interface,2018
3. Causability and explainability of artificial intelligence in medicine;Holzinger;WIREs Data Min Knowl Discov,2019
4. Imagenet classification with deep convolutional neural networks;Krizhevsky,2012
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