Author

Timothée Ferrari

École Polytechnique Fédérale de Lausanne

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Bioinformatics· 1

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Research Focus:benchmarking· 1 Research Focus:cell type annotation· 1 Approach:deep learning· 1 Research Focus:gene regulatory network inference· 1 Organism:human· 1 Assay:scRNA-seq· 1 Assay:spatial transcriptomics· 1 Approach:statistical model· 1

Frequent Co-Authors

Bart DeplanckeiD· 1 shared Camille L G LambertiD· 1 shared Elisa BuganiiD· 1 shared Jillian R LoveiD· 1 shared Joern PezoldtiD· 1 shared Johannes BuesiD· 1 shared Maria BrbićiD· 1 shared Nadia GrenninglohiD· 1 shared

Activity by Year

2026-2026 · peak 1/yr

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1 shared paperBioinformatics

Bart DeplanckeORCID

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1 paper

Recent·Most cited

Generative modeling reveals the connection between nuclear morphology and gene expression

Shuo Wen, Ramón Viñas, Johannes Bues, Camille L G Lambert, Nadia Grenningloh, Timothée Ferrari, Elisa Bugani, Joern Pezoldt, Jillian R Love, Yinan Wan, Wouter R. Karthaus, Bart Deplancke, Maria Brbić

COSMIC, a generative model, quantifies the relationship between nuclear morphology and gene expression using paired single-cell data, revealing morphology-associated genes in prostate cancer and spatial transcriptomics of zebrafish embryos.

bioRxiv · Sep 30, 2026 · PreprintBioinformatics