Author

Sophie Dabo‐Niang

Centre National de la Recherche ScientifiqueORCID 0000-0002-4000-6752Unclaimed 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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Approach:statistical model· 2 Assay:bulk RNA-seq· 1 Research Focus:drug response / drug discovery· 1 Approach:graph neural network· 1 Organism:human· 1 Organism:mouse· 1 Research Focus:spatial domain detection· 1

Frequent Co-Authors

Arnaud PetitiD· 1 shared Cécile VerrieriD· 1 shared Djohana Laurent· 1 shared Luis Fernando Pérez ArmasiD· 1 shared Meyling Hua-Chen CheokiD· 1 shared Oussama BouaggadiD· 1 shared Stefano NasiniiD· 1 shared Vanessa DehennautiD· 1 shared

Activity by Year

2026-2026 · peak 2/yr

Co-Author Collaboration Network

8 top collaborators · 16 mutual co-author links

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1 shared paperBioinformatics

Arnaud PetitORCID

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2 papers

Recent·Most cited

BioinformaticsbioRxivPreprintJul 3, 2026

Multiscale Analysis of Cellular Senescence through Ripley's Functions and Functional Statistics.

Cécile Verrier, Vanessa Dehennaut, Sophie Dabo‐Niang

This paper develops a multiscale framework to analyze the spatial organization of senescent cells in post-infarction mouse hearts using statistical and functional methods.

DOI 10.64898/2026.06.29.734207

mousebulk RNA-seq

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BioinformaticsbioRxivPreprintJan 7, 2026

Graph-based Drug Decomposition for Anticancer Response Modeling

Stefano Nasini, Luis Fernando Pérez Armas, Oussama Bouaggad…·Meyling Hua-Chen Cheok

This paper models ex vivo drug response in pediatric AML by decomposing drug molecules into structured features and using graph-based methods to identify key molecular predictors of cellular viability.

DOI 10.64898/2026.01.06.697864

humanstatistical model

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