Author

Gad Shaulsky

Baylor College of MedicineORCID 0000-0002-0532-0551Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Approach:statistical model· 3 Assay:bulk RNA-seq· 2 Research Focus:cell type annotation· 2 Assay:scRNA-seq· 2 Research Focus:benchmarking· 1 Research Focus:clustering· 1 Research Focus:database / resource· 1 Approach:deep learning· 1

Frequent Co-Authors

Blaž ZupaniD· 3 shared Lena TrnoveciD· 2 shared Mariko Katoh‐KurasawaiD· 2 shared Amanda Nicole WebbiD· 1 shared Hsing‐I HoiD· 1 shared Karin HrovatiniD· 1 shared Miha Riley ŠtajdohariD· 1 shared Rachel N. AreyiD· 1 shared

Activity by Year

2021-2026 · peak 2/yr

Co-Author Collaboration Network

9 top collaborators · 22 mutual co-author links

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3 shared papersBioinformatics

Blaž ZupanORCID

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Author profile →

3 papers

Recent·Most cited

Single-cell foundation models transfer across deep evolutionary distances

Lena Trnovec, Mariko Katoh‐Kurasawa, Rachel N. Arey, Gad Shaulsky, Blaž Zupan

This paper evaluates the transferability of single-cell foundation models across deep evolutionary distances using developmental atlases of Dictyostelium discoideum and Caenorhabditis elegans.

bioRxiv · Oct 31, 2026 · PreprintBioinformatics

dictyExpress: an integrated browser for bulk and single-cell Dictyostelium transcriptomics

Lena Trnovec, Miha Riley Štajdohar, Gad Shaulsky, Blaž Zupan

dictyExpress 3.0 integrates bulk and single-cell transcriptomics data for Dictyostelium, offering interactive visualizations and cross-modal analysis.

bioRxiv · Sep 9, 2026 · PreprintBioinformatics

Transcriptional milestones in Dictyostelium development

Mariko Katoh‐Kurasawa, Karin Hrovatin, Shigenori Hirose, Amanda Nicole Webb, Hsing‐I Ho, Blaž Zupan, Gad Shaulsky

The paper identifies milestone genes and regulons in Dictyostelium development through time-series RNA-sequencing, revealing new gene expression patterns and developmental transitions.

Genome Research · Aug 1, 2021Peer-reviewedGenomics