A machine learning-enabled open biodata resource inventory from the scientific literature.
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| Title: | A machine learning-enabled open biodata resource inventory from the scientific literature. |
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| Authors: | Imker HJ; Global Biodata Coalition, Strasbourg, France.; University Library, University of Illinois at Urbana-Champaign, Urbana, Illinois, United States of America., Schackart KE 3rd; Global Biodata Coalition, Strasbourg, France.; Department of Biosystems Engineering, The University of Arizona, Tucson, Arizona, United States of America., Istrate AM; Chan Zuckerberg Initiative, Redwood City, California, United States of America., Cook CE; Global Biodata Coalition, Strasbourg, France. |
| Source: | PloS one [PLoS One] 2023 Nov 28; Vol. 18 (11), pp. e0294812. Date of Electronic Publication: 2023 Nov 28 (Print Publication: 2023). |
| Publication Type: | Journal Article; Research Support, Non-U.S. Gov't |
| Journal Info: | Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet ISSN: 1932-6203 (Electronic) Linking ISSN: 19326203 NLM ISO Abbreviation: PLoS One Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 1932-6203 |
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| DOI: | 10.1371/journal.pone.0294812 |
