Author

Priscilla Vlaming

Radboud University Medical CenterORCID 0000-0002-4879-7114Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 2

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 2 Approach:statistical model· 2 Research Focus:gene regulatory network inference· 1 Assay:GWAS summary statistics· 1 Organism:human· 1 Assay:metagenomics· 1 Research Focus:variant effect prediction· 1

Frequent Co-Authors

Alejandro Arias VásqueziD· 2 shared Barbara FrankeiD· 2 shared Jan K. BuitelaariD· 2 shared AH Ghamarian· 1 shared Anders Dupont BørglumiD· 1 shared Ditte DemontisiD· 1 shared Geert PoelmansiD· 1 shared Gerben D. A. HermesiD· 1 shared

Activity by Year

2020-2023 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 35 mutual co-author links

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2 shared papersBioinformatics

Alejandro Arias VásquezORCID

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2 papers

Recent·Most cited

BioinformaticsbioRxivPreprintFeb 13, 2023

A comparison of bioinformatics pipelines for compositional analysis of the human gut microbiome

Joanna Szopinska-Tokov, Mirjam Bloemendaal, Jos Boekhorst…·Alejandro Arias Vásquez

This paper compares five bioinformatics pipelines for analyzing 16S rRNA gene sequencing data from the gut microbiome, showing how pipeline choice affects downstream statistical results and case-control conclusions.

6 citations

humanmetagenomics

BioinformaticsbioRxivPreprintDec 15, 2020

Quantitative Genetic Scoring, or how to put a number on an arbitrary genetic region

Gido Schoenmacker, Priscilla Vlaming, Jonatan Pallesen…·Alejandro Arias Vásquez

This paper introduces quantitative genetic scoring (QGS) to create quantitative genetic variables from arbitrary regions, showing it can reduce genetic data by >98% while explaining phenotypic variance across different granularities.

1 citation

GWAS summary statisticsstatistical model