Author

Sergi Beneyto‐Calabuig

Universitat Pompeu FabraORCID 0000-0003-3773-8239Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1 Cancer Biology· 1 Genomics· 1

Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 3 Organism:human· 3 Approach:statistical model· 3 Research Focus:clustering· 2 Research Focus:differential expression· 2 Assay:scRNA-seq· 2 Research Focus:database / resource· 1 Approach:deep learning· 1

Frequent Co-Authors

Lars VelteniD· 3 shared Michael KardorffiD· 2 shared Simon RaffeliD· 2 shared Adriane HalikiD· 1 shared Agostina BianchiiD· 1 shared Alejo Rodriguez-FraticelliiD· 1 shared Andreas TrumppiD· 1 shared Ansuman T. SatpathyiD· 1 shared

Activity by Year

2024-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 29 mutual co-author links

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3 shared papersCancer Biology

Lars VeltenORCID

Mutual co-authors in cluster

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3 papers

Recent·Most cited

Cancer BiologybioRxivPreprintAug 26, 2026

Multiscale biological interactions define clinical trajectories in acute myeloid leukemia

Jan Bařinka, Sarah Gräßle, Magdalena Pajonk…·Simon Haas

This study links multiscale biological interactions to clinical outcomes in AML by analyzing single-cell data and developing an analytical framework.

DOI 10.64898/2026.08.25.746926

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GenomicsNaturePeer-reviewedMay 21, 2025

Somatic epimutations enable single-cell lineage tracing in native hematopoiesis across the murine and human lifespan

Michael Scherer, Indranil Singh, Martina Maria Braun…·Lars Velten

This paper introduces EPI-clone, a method using DNA methylation to trace clonal lineages in hematopoiesis without genetic engineering, showing clonal complexity declines with age in mice and expands in humans.

67 citationstop 1%

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BioinformaticsBioinformaticsPeer-reviewedAug 15, 2024

Identifying cancer cells from calling single-nucleotide variants in scRNA-seq data

Valérie Marot-Lassauzaie, Sergi Beneyto‐Calabuig, Benedikt Obermayer…·Laleh Haghverdi

CCLONE identifies cancer cells in scRNA-seq data by jointly analyzing SNVs and cell populations, showing its effectiveness in leukemia and lung cancer datasets.

13 citations

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