Machine learning in computational biology to accelerate high-throughput protein expression-Reference-Cited by-同舟云学术

Machine learning in computational biology to accelerate high-throughput protein expression

Published:2017-04-07 Issue:16 Volume:33 Page:2487-2495
ISSN:1367-4803
Container-title:Bioinformatics
language:en
Short-container-title:

Author:

Sastry Anand¹,Monk Jonathan¹,Tegel Hanna²,Uhlen Mathias²³,Palsson Bernhard O¹³,Rockberg Johan²,Brunk Elizabeth¹³

Affiliation:

1. Department of Bioengineering, University of California, San Diego, CA, USA

2. KTH - Royal Institute of Technology, Department of Proteomics and Nanobiotechnology, Stockholm, Sweden

3. The Novo Nordisk Foundation Center for Biosustainability, Technical University of Denmark, Lyngby, Denmark

Funder

National Institutes of Health

Publisher

Oxford University Press (OUP)

Subject

Computational Mathematics,Computational Theory and Mathematics,Computer Science Applications,Molecular Biology,Biochemistry,Statistics and Probability

Link

http://academic.oup.com/bioinformatics/article-pdf/33/16/2487/25163554/btx207.pdf

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