Clinically Applicable Deep Learning Algorithm Using Quantitative Proteomic Data-Reference-Cited by-同舟云学术

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Clinically Applicable Deep Learning Algorithm Using Quantitative Proteomic Data

Published:2019-07-17 Issue:8 Volume:18 Page:3195-3202
ISSN:1535-3893
Container-title:Journal of Proteome Research
language:en
Short-container-title:J. Proteome Res.

Author:

Kim Hyunsoo,Kim Yoseop,Han Buhm,Jang Jin-Young,Kim Youngsoo^ORCID

Funder

Ministry of Health and Welfare

National Research Foundation of Korea

Ministry of Trade, Industry and Energy

Publisher

American Chemical Society (ACS)

Subject

General Chemistry,Biochemistry

Link

https://pubs.acs.org/doi/pdf/10.1021/acs.jproteome.9b00268

Reference30 articles.

1. High-performance medicine: the convergence of human and artificial intelligence

2. M. D. Anderson Breaks With IBM Watson, Raising Questions About Artificial Intelligence in Oncology

3. Mastering the game of Go with deep neural networks and tree search

4. Mastering the game of Go without human knowledge

5. Google DeepMind and healthcare in an age of algorithms

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