ProteinNet: a standardized data set for machine learning of protein structure-Reference-Cited by-同舟云学术

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ProteinNet: a standardized data set for machine learning of protein structure

Published:2019-06-11 Issue:1 Volume:20 Page:
ISSN:1471-2105
Container-title:BMC Bioinformatics
language:en
Short-container-title:BMC Bioinformatics

Author:

AlQuraishi Mohammed^ORCID

Funder

National Institute of General Medical Sciences

National Institutes of Health

Publisher

Springer Science and Business Media LLC

Subject

Applied Mathematics,Computer Science Applications,Molecular Biology,Biochemistry,Structural Biology

Link

http://link.springer.com/content/pdf/10.1186/s12859-019-2932-0.pdf

Reference32 articles.

1. LeCun Y, Bengio Y, Hinton G. Deep learning. Nature. 2015;521(7553):436–44.

2. Ting DSW, Liu Y, Burlina P, Xu X, Bressler NM, Wong TY. AI for medical imaging goes deep. Nat Med. 2018;24(5):539.

3. Alipanahi B, Delong A, Weirauch MT, Frey BJ. Predicting the sequence specificities of DNA- and RNA-binding proteins by deep learning. Nat Biotechnol. 2015;33(8):831–8.

4. Ching T, Himmelstein DS, Beaulieu-Jones Brett K, Kalinin Alexandr A, Do Brian T, Way Gregory P, et al. Opportunities and obstacles for deep learning in biology and medicine. J R Soc Interface. 2018;15(141):20170387.

5. Russakovsky O, Deng J, Su H, Krause J, Satheesh S, Ma S, et al. ImageNet large scale visual recognition challenge. Int J Comput Vis. 2015;115(3):211–52.

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