Author

Vı́ctor Quesada

Universidad de OviedoORCID 0000-0002-8398-3457Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Approach:statistical model· 2 Approach:benchmark study· 1 Research Focus:benchmarking· 1 Assay:bulk RNA-seq· 1 Research Focus:differential expression· 1 Research Focus:gene regulatory network inference· 1 Organism:human· 1 Research Focus:variant calling· 1

Frequent Co-Authors

Luis Francisco Lorenzo‐MartíniD· 1 shared Magda R. HamczykiD· 1 shared María González-Pereira· 1 shared Rubén Fernández· 1 shared Samuel Pis-Vigil· 1 shared Xosé R. BusteloiD· 1 shared

Activity by Year

2025-2026 · peak 1/yr

Co-Author Collaboration Network

6 top collaborators · 6 mutual co-author links

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1 shared paperCancer Biology

Luis Francisco Lorenzo‐MartínORCID

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2 papers

Recent·Most cited

BioinformaticsBioinformatics AdvancesPeer-reviewedJan 1, 2026

nVenn2: faster, simpler generalized quasi-proportional Venn diagrams

Samuel Pis-Vigil, María González-Pereira, Magda R. Hamczyk, Vı́ctor Quesada

nVenn2 generates interpretable quasi-proportional Venn diagrams for large numbers of sets by focusing on non-empty regions, improving efficiency and clarity.

1 citationtop 4%

statistical modelbenchmarking

𝕏 PostBluesky

Cancer BiologyFrontiers in BioinformaticsPeer-reviewedDec 17, 2025

PAN-CANCER ANALYSES IDENTIFY ONCOGENIC DRIVERS, EXPRESSION SIGNATURES, AND THERAPEUTIC VULNERABILITIES IN RHO GTPase PATHWAY GENES

Rubén Fernández, Luis Francisco Lorenzo‐Martín, Vı́ctor Quesada, Xosé R. Bustelo

This study identifies oncogenic drivers, expression signatures, and therapeutic vulnerabilities in RHO GTPase pathway genes across multiple cancer types using pan-cancer genomic and transcriptomic data.

4 citations

humanwhole-genome sequencing

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