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Open Access
Peer-reviewed
Research Article
A systematic machine learning and data type comparison yields metagenomic predictors of infant age, sex, breastfeeding, antibiotic usage, country of origin, and delivery type
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Alan Le Goallec ,
Roles Conceptualization, Data curation, Formal analysis, Methodology, Visualization, Writing – original draft, Writing – review & editing
¶‡ These authors share first authorship on this work.
Affiliations Department of Biomedical Informatics, Harvard Medical School, Boston, Massachusetts, United States of America, Department of Systems Biology, Harvard University, Cambridge, Massachusetts, United States of America
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Braden T. Tierney ,
Roles Conceptualization, Data curation, Formal analysis, Methodology, Visualization, Writing – original draft, Writing – review & editing
¶‡ These authors share first authorship on this work.
Affiliations Department of Biomedical Informatics, Harvard Medical School, Boston, Massachusetts, United States of America, Section on Pathophysiology and Molecular Pharmacology, Joslin Diabetes Center, Boston, Massachusetts, United States of America, Section on Islet Cell and Regenerative Biology, Joslin Diabetes Center, Boston, Massachusetts, United States of America, Department of Microbiology and Immunobiology, Harvard Medical School, Boston, Massachusetts, United States of America
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Jacob M. Luber,
Roles Data curation, Formal analysis, Writing – review & editing
Affiliation Department of Biomedical Informatics, Harvard Medical School, Boston, Massachusetts, United States of America
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Evan M. Cofer,
Roles Data curation, Formal analysis, Writing – review & editing
Affiliation Lewis-Sigler Institute for Integrative Genomics, Princeton University, Princeton, New Jersey, United States of America
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Aleksandar D. Kostic ,
Roles Conceptualization, Funding acquisition, Investigation, Methodology, Project administration, Resources, Supervision, Writing – original draft, Writing – review & editing
* E-mail: aleksandar.kostic@joslin.harvard.edu (ADK); chirag_patel@hms.harvard.edu (CJP)
Affiliations Section on Pathophysiology and Molecular Pharmacology, Joslin Diabetes Center, Boston, Massachusetts, United States of America, Section on Islet Cell and Regenerative Biology, Joslin Diabetes Center, Boston, Massachusetts, United States of America, Department of Microbiology and Immunobiology, Harvard Medical School, Boston, Massachusetts, United States of America
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Chirag J. Patel
Roles Conceptualization, Funding acquisition, Investigation, Methodology, Project administration, Resources, Supervision, Writing – original draft, Writing – review & editing
* E-mail: aleksandar.kostic@joslin.harvard.edu (ADK); chirag_patel@hms.harvard.edu (CJP)
Affiliation Department of Biomedical Informatics, Harvard Medical School, Boston, Massachusetts, United States of America
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A systematic machine learning and data type comparison yields metagenomic predictors of infant age, sex, breastfeeding, antibiotic usage, country of origin, and delivery type
- Alan Le Goallec,
- Braden T. Tierney,
- Jacob M. Luber,
- Evan M. Cofer,
- Aleksandar D. Kostic,
- Chirag J. Patel
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- Published: May 11, 2020
- https://doi.org/10.1371/journal.pcbi.1007895