Author

Svitlana Lukicheva

Ghent UniversityORCID 0000-0003-0170-6868Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Approach:deep learning· 2 Research Focus:gene regulatory network inference· 2 Assay:scRNA-seq· 2 Approach:statistical model· 2 Research Focus:cell type annotation· 1 Organism:plant (other)· 1 Organism:zebrafish· 1

Frequent Co-Authors

Klaas VandepoeleiD· 2 shared Bert De RybeliD· 1 shared Carolin GronesiD· 1 shared Christopher A. Bagley· 1 shared Griet CoussensiD· 1 shared Isabelle Verwaerde· 1 shared Jasper StautiD· 1 shared Jim RenemaiD· 1 shared

Activity by Year

2025-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 37 mutual co-author links

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2 shared papersPlant Biology

Klaas VandepoeleORCID

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2 papers

Recent·Most cited

Plant BiologyMethods in molecular biologyPeer-reviewedJan 1, 2026

MINI-EX version 2: cell-type-specific gene regulatory network inference using an integrative single-cell transcriptomics approach

Jasper Staut, Nicolás Manosalva Pérez, Thomas Depuydt…·Svitlana Lukicheva

MINI-EX version 2 infers cell-type-specific gene regulatory networks in plants using single-cell transcriptomics and TF motif integration, improving accuracy and enabling analysis of non-model species.

11 citationstop 1%

plant (other)scRNA-seq

𝕏 PostBluesky

Plant BiologybioRxivPreprintJun 22, 2025

Gene regulatory network analysis of somatic embryogenesis identifies morphogenic genes that increase maize transformation frequency

Jim Renema, Svitlana Lukicheva, Isabelle Verwaerde…·Laurens Pauwels

The paper identifies morphogenic genes that enhance maize transformation frequency by analyzing gene regulatory networks in induced somatic embryos.

1 citation

zebrafishscRNA-seq

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