Author

Arnaud Poret

Centre National de la Recherche ScientifiqueORCID 0000-0003-2023-304XUnclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1 Neuroscience· 1 Systems Biology· 1

Signature Assays, Organisms & Methods

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Approach:statistical model· 3 Assay:bulk RNA-seq· 2 Organism:human· 2 Research Focus:cell-cell communication· 1 Approach:experimental assay· 1 Research Focus:gene regulatory network inference· 1

Frequent Co-Authors

Anne GrünewaldiD· 1 shared Carito GuziołowskiiD· 1 shared Claudio MonteiroiD· 1 shared Felix Bruno Kleine BorgmanniD· 1 shared Ibrahim BoussaadiD· 1 shared Ioanna BoumpourekaiD· 1 shared Jean‐Pierre BoisseliD· 1 shared Johanna HeideriD· 1 shared

Activity by Year

2019-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 17 mutual co-author links

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1 shared paperNeuroscience

Anne GrünewaldORCID

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3 papers

Recent·Most cited

NeurosciencebioRxivPreprintSep 15, 2026

SNCA triplication shapes neuronal extracellular vesicle biology and promotes microglial activation in patient-derived iPSC-based models of Parkinson's disease

Ioanna Boumpoureka, Johanna Heider, Sylvie Delcambre…·Rejko Krüger

This study investigates how SNCA triplication affects neuronal extracellular vesicle biology and microglial activation in Parkinson's disease using iPSC-derived models.

DOI 10.64898/2026.09.09.750343

humanbulk RNA-seq

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Systems BiologyBMC BioinformaticsPeer-reviewedJan 14, 2020

A pipeline to create predictive functional networks: application to the tumor progression of hepatocellular carcinoma

Maxime Folschette, Vincent Legagneux, Arnaud Poret…·Nathalie Théret

The paper introduces a pipeline to generate predictive functional networks using gene expression data and pathway databases, applied to hepatocellular carcinoma progression to identify regulatory biomolecules.

7 citations

humanbulk RNA-seq

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BioinformaticsbioRxivPreprintMar 20, 2019

Enhancing Boolean networks with continuous logical operators and edge tuning

Arnaud Poret, Claudio Monteiro, Jean‐Pierre Boissel

This paper enhances Boolean networks with continuous logical operators and tunable edges to improve qualitative modeling of biological networks without requiring quantitative data.

DOI 10.1101/584243

statistical model

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