Author

Fatoumata Mangane

Centre National de la Recherche Scientifique

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

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Bioinformatics· 2

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Assay:spatial transcriptomics· 2 Approach:statistical model· 2 Research Focus:benchmarking· 1 Research Focus:cell-cell communication· 1 Research Focus:database / resource· 1 Research Focus:dimensionality reduction· 1 Organism:mouse· 1 Research Focus:spatial domain detection· 1

Frequent Co-Authors

Pierre BostiD· 2 shared Bernd BodenmilleriD· 1 shared Chantal PauliiD· 1 shared Kyra J. E. BorgmaniD· 1 shared Leanne de KoningiD· 1 shared Manuel Jorge RodriguesiD· 1 shared Martina HabereckeriD· 1 shared Ruben CasanovaiD· 1 shared

Activity by Year

2025-2026 · peak 1/yr

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10 top collaborators · 45 mutual co-author links

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2 shared papersBioinformatics

Pierre BostORCID

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2 papers

Recent·Most cited

Next generation statistical framework for next generation spatial transcriptomics data

Fatoumata Mangane, Pierre Bost

This paper introduces TranspaceR, an R package with statistical methods for analyzing spatial transcriptomics data, improving quality control, gene selection, and normalization for large-scale datasets.

BMC Methods · Mar 1, 2026Peer-reviewedBioinformatics

Exploiting pair correlation function to describe biological tissue structure

Fatoumata Mangane, Ruben Casanova, Kyra J. E. Borgman, Leanne de Koning, Martina Haberecker, Chantal Pauli, Susanne Dettwiler, Sergio Roman‐Roman, Bernd Bodenmiller, Manuel Jorge Rodrigues, Pierre Bost

This paper introduces PCF-SiM, a framework for quantifying spatial organization in multiplexed imaging data, demonstrating its application in detecting tissue remodeling and spatial interactions in disease models.

bioRxiv · Dec 22, 2025 · PreprintBioinformatics