Author

Mariia Bilous

SIB Swiss Institute of BioinformaticsORCID 0000-0002-8570-5709Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 2 Cancer Biology· 1

Signature Assays, Organisms & Methods

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

Frequent Co-Authors

Aurélie AG GabrieliD· 2 shared David GfelleriD· 2 shared Chiara CianciarusoiD· 1 shared Christel VoizeiD· 1 shared Daria BusztaiD· 1 shared Hugo Michel· 1 shared Jonathan BaciD· 1 shared Krisztián HomicskóiD· 1 shared

Activity by Year

2022-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 18 mutual co-author links

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2 shared papersBioinformatics

Aurélie AG GabrielORCID

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3 papers

Recent·Most cited

From Transcripts to Cells: Dissecting Sensitivity, Signal Contamination, and Specificity in Xenium Spatial Transcriptomics

Mariia Bilous, Daria Buszta, Jonathan Bac, Senbai Kang, Yixing Dong, Stephanie Tissot, Sylvie André, Marina Alexandre Gaveta, Christel Voize, Solange Peters, Krisztián Homicskó, Raphaël Gottardo

The paper evaluates Xenium spatial transcriptomics performance, identifies technical limitations, and introduces SPLIT to improve signal purity and cell-type resolution.

Nature Methods · Apr 30, 2026Peer-reviewedCancer Biology

Building and analyzing metacells in single-cell genomics data

Mariia Bilous, Léonard Hérault, Aurélie AG Gabriel, Matei Teleman, David Gfeller

The paper reviews metacell applications in single-cell genomics, provides a tutorial, and introduces a pipeline for metacell construction and analysis.

Molecular Systems Biology · May 29, 2024Peer-reviewedBioinformatics

Metacells untangle large and complex single-cell transcriptome networks

Mariia Bilous, Loc Tran, Chiara Cianciaruso, Aurélie AG Gabriel, Hugo Michel, Santiago J. Carmona, Mikaël J. Pittet, David Gfeller

The paper introduces metacells to address scalability issues in scRNA-seq data by merging similar cells, improving downstream analyses and accelerating atlas construction.

BMC Bioinformatics · Aug 13, 2022Peer-reviewedBioinformatics