Author

Ariel José Berenstein

Consejo Nacional de Investigaciones Científicas y TécnicasORCID 0000-0001-8540-5389Unclaimed 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 Assay:scRNA-seq· 2 Research Focus:software / tool· 2 Approach:statistical model· 2 Research Focus:batch correction / integration· 1 Research Focus:cell type annotation· 1 Research Focus:clustering· 1 Research Focus:database / resource· 1

Frequent Co-Authors

Massimo AndreattaiD· 2 shared Santiago J. CarmonaiD· 2 shared David GfelleriD· 1 shared Léonard HéraultiD· 1 shared Paul GuegueniD· 1 shared

Activity by Year

2022-2024 · peak 1/yr

Co-Author Collaboration Network

5 top collaborators · 10 mutual co-author links

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2 shared papersBioinformatics

Massimo AndreattaORCID

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2 papers

Recent·Most cited

BioinformaticsNature CommunicationsPeer-reviewedJan 29, 2024

Semi-supervised integration of single-cell transcriptomics data

Massimo Andreatta, Léonard Hérault, Paul Gueguen…·Santiago J. Carmona

This study introduces STACAS v2, a semi-supervised method for integrating scRNA-seq data that outperforms existing methods by preserving biological variability using cell type annotations.

72 citationstop 1%

humanscRNA-seq

𝕏 PostBluesky

BioinformaticsBioinformaticsPeer-reviewedMar 4, 2022

scGate: marker-based purification of cell types from heterogeneous single-cell RNA-seq datasets

Massimo Andreatta, Ariel José Berenstein, Santiago J. Carmona

scGate automates marker-based purification of cell populations from single-cell RNA-seq data, outperforming existing methods in benchmark tests.

94 citationstop 2%

scRNA-seqstatistical model

𝕏 PostBluesky