Author

Maria E. Gonzalez

Instituto Nacional de Salud Pública

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Bioinformatics· 2

Signature Assays, Organisms & Methods

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Assay:metabolomics· 2 Approach:statistical model· 2 Research Focus:benchmarking· 1 Research Focus:differential expression· 1 Organism:human· 1

Frequent Co-Authors

Andres MetspaluiD· 2 shared Clicerio GonzáleziD· 2 shared Eric K. MorgeniD· 2 shared Joel N. HirschhorniD· 2 shared Josep Maria MercaderiD· 2 shared Krista FischeriD· 2 shared Kristen FortneyiD· 2 shared Tõnu EskoiD· 2 shared

Activity by Year

2019-2020 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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2 shared papersBioinformatics

Andres MetspaluORCID

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2 papers

Recent·Most cited

Integrating untargeted metabolomics, genetically informed causal inference, and pathway enrichment to define the obesity metabolome

Yu-Han H. Hsu, Christina M. Astley, Joanne B. Cole, Sailaja Vedantam, Josep Maria Mercader, Andres Metspalu, Krista Fischer, Kristen Fortney, Eric K. Morgen, Clicerio González, Maria E. Gonzalez, Tõnu Esko, Joel N. Hirschhorn

The paper identifies BMI-associated metabolites using untargeted metabolomics and causal inference, finding both known and unknown metabolites with causal links to obesity.

International Journal of Obesity · May 28, 2020Peer-reviewedBioinformatics

PAIRUP-MS: Pathway Analysis and Imputation to Relate Unknowns in Profiles from Mass Spectrometry-based metabolite data

Yu-Han H. Hsu, Claire L. Churchhouse, Tune H. Pers, Josep Maria Mercader, Andres Metspalu, Krista Fischer, Kristen Fortney, Eric K. Morgen, Clicerio González, Maria E. Gonzalez, Tõnu Esko, Joel N. Hirschhorn

PAIRUP-MS imputes and annotates unknown metabolite signals in mass spectrometry data, improving pathway analysis and meta-analysis power for metabolomics studies.

PLoS Computational Biology · Jan 14, 2019Peer-reviewedBioinformatics