Author

Da Yang

UNIVERSITY OF PITTSBURGHORCID 0000-0002-8336-9457Unclaimed ORCID profile · follow to get notified of new preprints

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Da Yang1 paper · University of Pittsburgh

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Bioinformatics· 1

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Research Focus:cell type annotation· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Research Focus:gene regulatory network inference· 1 Organism:human· 1 Assay:scRNA-seq· 1 Research Focus:trajectory inference· 1 Approach:variational autoencoder· 1

Frequent Co-Authors

Sihan LiiD· 1 shared Yue WangiD· 1 shared Yueshan ZhaoiD· 1 shared

Activity by Year

2026-2026 · peak 1/yr

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3 top collaborators · 3 mutual co-author links

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1 shared paperBioinformatics

Sihan LiORCID

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1 paper

Recent·Most cited

Disentangled generative modeling of single-cell perturbation responses across dynamic cellular states

Yue Wang, Yueshan Zhao, Sihan Li, Da Yang

This paper introduces PertVI, a deep generative model that disentangles treatment effects from cellular state and batch effects in single-cell perturbation data, revealing state-specific transcriptional responses.

bioRxiv · Nov 10, 2026 · PreprintBioinformatics