Author

Giulia Paci

MRC Laboratory for Molecular Cell BiologyORCID 0000-0003-0565-4356Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1 Developmental Biology· 1

Signature Assays, Organisms & Methods

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Organism:Drosophila· 2 Research Focus:cell type annotation· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Assay:imaging· 1 Approach:statistical model· 1 Approach:transformer / foundation model· 1

Frequent Co-Authors

Buzz BaumiD· 1 shared Federico NanniiD· 1 shared Francisco BerkemeieriD· 1 shared Karen M. PageiD· 1 shared Yanlan MaoiD· 1 shared

Activity by Year

2024-2026 · peak 1/yr

Co-Author Collaboration Network

5 top collaborators · 6 mutual co-author links

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1 shared paperDevelopmental Biology

Buzz BaumORCID

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2 papers

Recent·Most cited

Developmental BiologyBioStudies DatabasePeer-reviewedApr 9, 2026

3D epithelial cell topology tunes signalling range to promote precise patterning

Giulia Paci, Francisco Berkemeier, Buzz Baum…·Yanlan Mao

The paper shows that 3D epithelial cell geometry and topology influence Notch-Delta signalling range, affecting cell fate patterning in Drosophila wing margins.

4 citations

Drosophilastatistical model

𝕏 PostBluesky

BioinformaticsbioRxivPreprintMay 27, 2024

Assessing the potential of vision language models for automated phenotyping of Drosophila melanogaster

Giulia Paci, Federico Nanni

This study evaluates Vision Language Models for automated Drosophila wing phenotype detection and description, finding GPT-4 excels in generating accurate textual descriptions of complex phenotypes.

DOI 10.1101/2024.05.27.594652

Drosophilaimaging

𝕏 PostBluesky