Learning representations of microbe–metabolite interactions

Journal: Nature Methods

Published: 2019-11-04

DOI: 10.1038/s41592-019-0616-3

Affiliations: 17

Authors: 17

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Institutions Share
Environmental, Genomics and Systems Biology Division (EGSB), LBNL, United States of America (USA) 0.15
Collaborative Mass Spectrometry Innovation Center, UC San Diego, United States of America (USA) 0.12
Skaggs School of Pharmacy and Pharmaceutical Sciences (SSPPS), UC San Diego, United States of America (USA) 0.12
Department of Pediatrics, UC San Diego, United States of America (USA) 0.07
NYU Department of Biology, United States of America (USA) 0.07
Flatiron Institute, Simons Foundation, United States of America (USA) 0.07
Center for Microbiome Innovation, UC San Diego, United States of America (USA) 0.07
Department of Information Systems, UMBC, United States of America (USA) 0.06
Department of Biochemistry and Molecular Biology (BMB), MSU, United States of America (USA) 0.06
Department of Computer Science and Engineering (CSE), UC San Diego, United States of America (USA) 0.04
Department of Biological Sciences, NAU, United States of America (USA) 0.03
Joint Genome Institute (JGI), United States of America (USA) 0.03
Pathogen and Microbiome Institute (PMI), NAU, United States of America (USA) 0.03
Jacobs School of Engineering, UC San Diego, United States of America (USA) 0.03
NYU Department of Computer Science (CS), United States of America (USA) 0.01
NYU Center for Data Science (CDS), United States of America (USA) 0.01
Department of Bioengineering (BE), UC San Diego, United States of America (USA) 0.01

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