-
Loading metrics
Open Access
Peer-reviewed
Research Article
PAIRUP-MS: Pathway analysis and imputation to relate unknowns in profiles from mass spectrometry-based metabolite data
-
Yu-Han H. Hsu,
Roles Conceptualization, Formal analysis, Funding acquisition, Methodology, Software, Visualization, Writing – original draft
Affiliations Department of Genetics, Harvard Medical School, Boston, Massachusetts, United States of America, Division of Endocrinology and Center for Basic and Translational Obesity Research, Boston Children’s Hospital, Boston, Massachusetts, United States of America, Programs in Metabolism and Medical & Population Genetics, Broad Institute of Harvard and MIT, Cambridge, Massachusetts, United States of America
⨯ -
Claire Churchhouse,
Roles Methodology, Software, Writing – review & editing
Affiliations Stanley Center for Psychiatric Research, Broad Institute of Harvard and MIT, Cambridge, Massachusetts, United States of America, Analytical and Translational Genomics Unit, Massachusetts General Hospital, Boston, Massachusetts, United States of America
⨯ -
Tune H. Pers,
Roles Methodology, Writing – review & editing
Affiliations Novo Nordisk Foundation Centre for Basic Metabolic Research, University of Copenhagen, Copenhagen, Denmark, Department of Epidemiology Research, Statens Serum Institut, Copenhagen, Denmark
⨯ -
Josep M. Mercader,
Roles Resources, Writing – review & editing
Affiliations Programs in Metabolism and Medical & Population Genetics, Broad Institute of Harvard and MIT, Cambridge, Massachusetts, United States of America, Diabetes Unit and Center for Genomic Medicine, Massachusetts General Hospital, Boston, Massachusetts, United States of America
⨯ -
Andres Metspalu,
Roles Funding acquisition, Resources
Affiliation Estonian Genome Center, Institute of Genomics, University of Tartu, Tartu, Estonia
⨯ -
Krista Fischer,
Roles Funding acquisition, Resources
Affiliations Estonian Genome Center, Institute of Genomics, University of Tartu, Tartu, Estonia, Institute of Mathematics and Statistics, University of Tartu, Tartu, Estonia
⨯ -
Kristen Fortney,
Roles Funding acquisition, Resources
Affiliation BioAge Labs, Richmond, CA, United States of America
⨯ -
Eric K. Morgen,
Roles Funding acquisition, Resources, Writing – review & editing
Affiliation BioAge Labs, Richmond, CA, United States of America
⨯ -
Clicerio Gonzalez,
Roles Resources
Affiliations Instituto Nacional de Salud Publica, Cuernavaca, Morelos, Mexico, Centro de Estudios en Diabetes, Mexico City, Mexico
⨯ -
Maria E. Gonzalez,
Roles Resources
Affiliations Instituto Nacional de Salud Publica, Cuernavaca, Morelos, Mexico, Centro de Estudios en Diabetes, Mexico City, Mexico
⨯ -
Tonu Esko,
Roles Conceptualization, Formal analysis, Funding acquisition, Resources, Writing – review & editing
Affiliations Programs in Metabolism and Medical & Population Genetics, Broad Institute of Harvard and MIT, Cambridge, Massachusetts, United States of America, Estonian Genome Center, Institute of Genomics, University of Tartu, Tartu, Estonia
⨯ -
Joel N. Hirschhorn
Roles Conceptualization, Funding acquisition, Methodology, Supervision, Writing – original draft
* E-mail: Joel.Hirschhorn@childrens.harvard.edu
Affiliations Department of Genetics, Harvard Medical School, Boston, Massachusetts, United States of America, Division of Endocrinology and Center for Basic and Translational Obesity Research, Boston Children’s Hospital, Boston, Massachusetts, United States of America, Programs in Metabolism and Medical & Population Genetics, Broad Institute of Harvard and MIT, Cambridge, Massachusetts, United States of America
⨯
PAIRUP-MS: Pathway analysis and imputation to relate unknowns in profiles from mass spectrometry-based metabolite data
- Yu-Han H. Hsu,
- Claire Churchhouse,
- Tune H. Pers,
- Josep M. Mercader,
- Andres Metspalu,
- Krista Fischer,
- Kristen Fortney,
- Eric K. Morgen,
- Clicerio Gonzalez,
- Maria E. Gonzalez
-
- Published: January 14, 2019
- https://doi.org/10.1371/journal.pcbi.1006734