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Literature mining supports a next-generation modeling approach to predict cellular byproduct secretion
View ORCID ProfileZachary A. King, Edward J. O’Brien, Adam M. Feist, Bernhard O. Palsson
doi: https://doi.org/10.1101/066944
Zachary A. King
1Department of Bioengineering, University of California, San Diego, 9500 Gilman Drive, La Jolla, CA 92093, USA
Edward J. O’Brien
1Department of Bioengineering, University of California, San Diego, 9500 Gilman Drive, La Jolla, CA 92093, USA
Adam M. Feist
1Department of Bioengineering, University of California, San Diego, 9500 Gilman Drive, La Jolla, CA 92093, USA
2Novo Nordisk Foundation Center for Biosustainability, Technical University of Denmark, Kemitorvet, Building 220, DK-2800 Kongens Lyngby, Denmark
Bernhard O. Palsson
1Department of Bioengineering, University of California, San Diego, 9500 Gilman Drive, La Jolla, CA 92093, USA
2Novo Nordisk Foundation Center for Biosustainability, Technical University of Denmark, Kemitorvet, Building 220, DK-2800 Kongens Lyngby, Denmark
3Department of Pediatrics, University of California, San Diego, 9500 Gilman Drive, La Jolla, CA 92093, USA
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Posted August 01, 2016.
Literature mining supports a next-generation modeling approach to predict cellular byproduct secretion
Zachary A. King, Edward J. O’Brien, Adam M. Feist, Bernhard O. Palsson
bioRxiv 066944; doi: https://doi.org/10.1101/066944
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