Author

Chris Arian

University of Washington

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Bioinformatics· 2

Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 2 Approach:deep learning· 2 Research Focus:differential expression· 2 Research Focus:gene regulatory network inference· 2 Organism:human· 2 Assay:scRNA-seq· 2 Organism:Drosophila· 1 Research Focus:drug response / drug discovery· 1

Frequent Co-Authors

Jessica E. YoungiD· 2 shared Su-In LeeiD· 2 shared Wei QiuiD· 2 shared Alexander MendenhalliD· 1 shared Allison W. LiiD· 1 shared Ethan WeinbergeriD· 1 shared Maria BrbićiD· 1 shared Soo R. Yun· 1 shared

Activity by Year

2025-2026 · peak 1/yr

Co-Author Collaboration Network

8 top collaborators · 24 mutual co-author links

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2 shared papersBioinformatics

Jessica E. YoungORCID

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Author profile →

2 papers

Recent·Most cited

Disentangling Context-Specific Alzheimer's Disease Progression Signatures through an Explainable AI Framework

Allison W. Li, Wei Qiu, Chris Arian, Jessica E. Young, Su-In Lee

ADVISE identifies context-specific Alzheimer's disease progression signatures using an explainable AI framework and validates ROBO2 as a candidate regulator in excitatory neurons.

bioRxiv · Nov 4, 2026 · PreprintBioinformatics

An Explainable AI Framework for Identifying Universal Aging Signatures in Cell Embeddings

Wei Qiu, Chris Arian, Ethan Weinberger, Soo R. Yun, Alexander Mendenhall, Jessica E. Young, Maria Brbić, Su‐In Lee

ACE identifies universal aging signatures across species by disentangling aging-related gene expression from other biological variations using explainable AI.

bioRxiv · Nov 7, 2025 · PreprintBioinformatics