Author

Mickael Gandecki

Greenforge SAS

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

Biology Disciplines

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Bioinformatics· 2

Signature Assays, Organisms & Methods

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Organism:Arabidopsis· 2 Approach:statistical model· 2 Research Focus:benchmarking· 1 Research Focus:cell type annotation· 1 Approach:deep learning· 1 Research Focus:development & morphogenesis· 1 Assay:DNA methylation· 1 Research Focus:gene regulatory network inference· 1

Frequent Co-Authors

Emeline Auger· 2 shared Charly Delarche· 1 shared Francois Xavier Heng· 1 shared Francois-Xavier Heng· 1 shared

Activity by Year

2026-2026 · peak 2/yr

Co-Author Collaboration Network

4 top collaborators · 4 mutual co-author links

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2 shared papersBioinformatics

Emeline Auger

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Author profile →

2 papers

Recent·Most cited

Growing a Root from Its Genome : Emergent Tissue Layers and Zones in a GPU-Native Simulation of the Arabidopsis Root Tip

Emeline Auger, Mickael Gandecki, Francois-Xavier Heng

This paper simulates Arabidopsis root tip development from a genome, showing emergent cell identities and zones without pre-defined structures, but with limitations in niche maintenance and regeneration.

bioRxiv · Nov 6, 2026 · PreprintBioinformatics

BioOS: A Gene-Driven Digital Twin Runtime for Emergent Plant Development

Emeline AUGER, Mickael Gandecki, Charly Delarche, Francois Xavier Heng

BioOS is a mechanistic runtime for plant development that simulates gene regulation and morphogenesis, achieving high accuracy on multiple developmental benchmarks.

bioRxiv · Mar 17, 2026 · PreprintBioinformatics