Author

Maryam Moshiri

Utrecht University

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· 1

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Research Focus:database / resource· 1 Organism:human· 1 Approach:machine learning (classical)· 1 Assay:metagenomics· 1 Research Focus:software / tool· 1 Approach:statistical model· 1

Frequent Co-Authors

Boudewijn M.T. BurgeringiD· 1 shared Jeroen de RidderiD· 1 shared Joanna C. WolthuisiD· 1 shared Judith J M JansiD· 1 shared Mia L. Pras‐RavesiD· 1 shared Saskia W. C. van MiliD· 1 shared Stefanía MagnúsdóttiriD· 1 shared

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2020-2020 · peak 1/yr

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7 top collaborators · 21 mutual co-author links

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1 shared paperBioinformatics

Boudewijn M.T. BurgeringORCID

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1 paper

Recent·Most cited

MetaboShiny - interactive processing, analysis and annotation of direct infusion metabolomics data

Joanna C. Wolthuis, Stefanía Magnúsdóttir, Mia L. Pras‐Raves, Maryam Moshiri, Judith J M Jans, Boudewijn M.T. Burgering, Saskia W. C. van Mil, Jeroen de Ridder

MetaboShiny provides an interactive tool for analyzing and annotating direct infusion metabolomics data, demonstrating its use on lung cancer urine samples.

bioRxiv · Jun 30, 2020 · PreprintBioinformatics