Author

Sara Vidal-Notari

Universidad Complutense de MadridORCID 0009-0002-7741-4976Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1

Signature Assays, Organisms & Methods

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Approach:benchmark study· 1 Research Focus:benchmarking· 1 Research Focus:clustering· 1 Organism:human· 1 Organism:mouse· 1 Assay:scRNA-seq· 1 Approach:statistical model· 1 Research Focus:trajectory inference· 1

Frequent Co-Authors

Alba Méndez-AlejandreiD· 1 shared Antonio Sánchez TorralbaiD· 1 shared Darío González-Menéndez· 1 shared Gabriel PiedrafitaiD· 1 shared Greta SkrupskelyteiD· 1 shared Harikrishnan AjithiD· 1 shared Maria Pilar AlcoleaiD· 1 shared María Rodríguez-Rodríguez· 1 shared

Activity by Year

2026-2026 · peak 1/yr

Co-Author Collaboration Network

8 top collaborators · 28 mutual co-author links

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1 shared paperBioinformatics

Alba Méndez-AlejandreORCID

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1 paper

Recent·Most cited

Somatic mutation inference from single-cell transcriptomics: A survey in the esophagus

Alba Méndez-Alejandre, Darío González-Menéndez, Sara Vidal-Notari, Greta Skrupskelyte, María Rodríguez-Rodríguez, Harikrishnan Ajith, Antonio Sánchez Torralba, Maria Pilar Alcolea, Gabriel Piedrafita

This study evaluates SComatic's ability to detect somatic mutations in normal esophageal tissue using scRNA-seq, highlighting technical challenges and methodological improvements.

bioRxiv · Jul 11, 2026 · PreprintBioinformatics