Author

Cécile Beust

Centre National de la Recherche ScientifiqueORCID 0009-0008-3660-7855Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1 Genetic & Genomic Medicine· 1

Signature Assays, Organisms & Methods

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Approach:statistical model· 2 Research Focus:cell type annotation· 1 Research Focus:gene regulatory network inference· 1 Organism:human· 1

Frequent Co-Authors

Anaı̈s BaudotiD· 1 shared E. BeckeriD· 1 shared Galadriel BrièreiD· 1 shared Morgane TérézoliD· 1 shared Nathalie ThéretiD· 1 shared Olivier DameroniD· 1 shared

Activity by Year

2025-2026 · peak 1/yr

Co-Author Collaboration Network

6 top collaborators · 6 mutual co-author links

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1 shared paperGenetic & Genomic Medicine

Anaı̈s BaudotORCID

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2 papers

Recent·Most cited

BioinformaticsbioRxivPreprintOct 6, 2026

Refining Protein Co-Membership in Reactome: A Weighted Scoring Approach Based on Hierarchy and Sequences of Patwhays

Cécile Beust, Olivier Dameron, Nathalie Théret, E. Becker

The paper introduces a weighted pathway co-membership method for Reactome pathways, improving gene prioritization in cancer hallmarks by incorporating biological distances and hierarchical structure.

DOI 10.64898/2026.09.30.755656

statistical modelgene regulatory network inference

𝕏 PostBluesky

Genetic & Genomic MedicinemedRxivPreprintApr 2, 2025

Using Networks and Prior Knowledge to Uncover Novel Rare Disease Phenotypes

Galadriel Brière, Cécile Beust, Morgane Térézol, Anaı̈s Baudot

The paper develops a network-based method to identify novel phenotypes for rare diseases by integrating clinical data with prior knowledge from Orphanet and HPO.

1 citation

humanstatistical model

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