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k-BOOM: A Bayesian approach to ontology structure inference, with applications in disease ontology construction
View ORCID ProfileChristopher J. Mungall, Sebastian Koehler, Peter Robinson, Ian Holmes, View ORCID ProfileMelissa Haendel
doi: https://doi.org/10.1101/048843
Christopher J. Mungall
1Environmental Genomics and Systems Biology Division, Lawrence Berkeley National Laboratory, MS977, 1 Cyclotron Road, Berkeley, CA 94720 USA
Sebastian Koehler
2Institute for Medical and Human Genetics, Charité-Universitä tsmedizin Berlin, Augustenburger Platz 1, 13353 Berlin, Germany
Peter Robinson
2Institute for Medical and Human Genetics, Charité-Universitä tsmedizin Berlin, Augustenburger Platz 1, 13353 Berlin, Germany
Ian Holmes
3Department of Bioengineering, University of California, Berkeley, CA, USA
Melissa Haendel
4Department of Medical Informatics & Clinical Epidemiology, Oregon Health and Sciences University, Portland, Oregon, USA
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Posted April 15, 2016.
k-BOOM: A Bayesian approach to ontology structure inference, with applications in disease ontology construction
Christopher J. Mungall, Sebastian Koehler, Peter Robinson, Ian Holmes, Melissa Haendel
bioRxiv 048843; doi: https://doi.org/10.1101/048843
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