Author

Carolina Gómez‐Llorente

Universidad de GranadaORCID 0000-0003-3948-1473Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1 Genetic & Genomic Medicine· 1

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 2 Assay:metagenomics· 1 Approach:simulation· 1 Approach:statistical model· 1

Frequent Co-Authors

José CamachoiD· 2 shared Amen Khabeer Al KhafajiiD· 1 shared David Morales‐JiméneziD· 1 shared Raffaele VitaleiD· 1 shared

Activity by Year

2022-2026 · peak 1/yr

Co-Author Collaboration Network

4 top collaborators · 4 mutual co-author links

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2 shared papersBioinformatics

José CamachoORCID

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2 papers

Recent·Most cited

BioinformaticsbioRxivPreprintJan 21, 2026

A Realistic Simulation Framework for EvaluatingMicrobiome Normalization in Sample Stratification and Differential Abundance

Amen Khabeer Al Khafaji, Carolina Gómez‐Llorente, José Camacho

The paper introduces a simulation framework to evaluate microbiome normalization methods' impact on sample stratification and differential abundance across taxonomic levels.

DOI 10.64898/2026.01.13.699216

metagenomicssimulation

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Genetic & Genomic MedicineBioinformaticsPeer-reviewedDec 10, 2022

Variable-Selection ANOVA Simultaneous Component Analysis (VASCA)

José Camacho, Raffaele Vitale, David Morales‐Jiménez, Carolina Gómez‐Llorente

VASCA improves upon ASCA by selecting variables to increase statistical power without increasing Type-I error, showing better performance than ASCA and FDR in simulations and real data.

18 citations

statistical modelbenchmarking

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