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SBMate: A Framework for Evaluating Quality of Annotations in Systems Biology Models
Woosub Shin, Joseph L. Hellerstein, View ORCID ProfileYuda Munarko, View ORCID ProfileMaxwell L. Neal, View ORCID ProfileDavid P. Nickerson, Anand K. Rampadarath, Herbert M. Sauro, John H. Gennari
doi: https://doi.org/10.1101/2021.10.09.463757
Woosub Shin
1Auckland Bioengineering Institute, The University of Auckland
Joseph L. Hellerstein
2eScience Institute, University of Washington
Yuda Munarko
1Auckland Bioengineering Institute, The University of Auckland
Maxwell L. Neal
3Center for Global Infectious Disease Research, Seattle Children’s Research Institute
David P. Nickerson
1Auckland Bioengineering Institute, The University of Auckland
Anand K. Rampadarath
1Auckland Bioengineering Institute, The University of Auckland
Herbert M. Sauro
4Department of Bioengineering, University of Washington
John H. Gennari
5Department of Biomedical Informatics and Medical Education, University of Washington
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Posted October 09, 2021.
SBMate: A Framework for Evaluating Quality of Annotations in Systems Biology Models
Woosub Shin, Joseph L. Hellerstein, Yuda Munarko, Maxwell L. Neal, David P. Nickerson, Anand K. Rampadarath, Herbert M. Sauro, John H. Gennari
bioRxiv 2021.10.09.463757; doi: https://doi.org/10.1101/2021.10.09.463757
SBMate: A Framework for Evaluating Quality of Annotations in Systems Biology Models
Woosub Shin, Joseph L. Hellerstein, Yuda Munarko, Maxwell L. Neal, David P. Nickerson, Anand K. Rampadarath, Herbert M. Sauro, John H. Gennari
bioRxiv 2021.10.09.463757; doi: https://doi.org/10.1101/2021.10.09.463757
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