Author

Meng Ying Sun

Karolinska InstitutetORCID 0000-0002-9301-0421Unclaimed 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· 1 Research Focus:differential expression· 1 Approach:experimental assay· 1 Research Focus:gene regulatory network inference· 1 Organism:human· 1 Assay:scRNA-seq· 1 Research Focus:software / tool· 1

Frequent Co-Authors

Petter BrodiniD· 2 shared Anca I. CatrinaiD· 1 shared Hugo BarcenillaiD· 1 shared Jun WangiD· 1 shared Laura GonzaleziD· 1 shared Tadepally LakshmikanthiD· 1 shared Yang CheniD· 1 shared Yang CheniD· 1 shared

Activity by Year

2022-2026 · peak 1/yr

Co-Author Collaboration Network

8 top collaborators · 18 mutual co-author links

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2 shared papersBioinformatics

Petter BrodinORCID

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2 papers

Recent·Most cited

BioinformaticsbioRxivPreprintSep 24, 2026

Culsma: An Executable Specification Language for Laboratory Protocols

Meng Ying Sun, Tadepally Lakshmikanth, Jun Wang…·Petter Brodin

Culsma provides an executable specification language for laboratory protocols, enabling both human readability and machine execution to ensure precise experimental execution and verification.

DOI 10.64898/2026.05.07.723509

experimental assaysoftware / tool

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Molecular BiologybioRxivPreprintMar 15, 2022

Graph deep learning reveals multiple signal pathways activated in anti-citrullinated protein antibodies stimulated synoviocytes

Meng Ying Sun, Yang Chen, Petter Brodin, Anca I. Catrina

The paper uses graph deep learning to analyze single-cell mRNA data from ACPA-stimulated synoviocytes, identifying IL1-IL1R and PI3K/AKT signaling pathways.

1 citation

humanscRNA-seq

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