Author

Adelina Chau

University of California, BerkeleyORCID 0009-0002-1691-8732Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1 Genomics· 1

Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 2 Research Focus:differential expression· 2 Research Focus:gene regulatory network inference· 2 Organism:mouse· 2 Assay:scRNA-seq· 2 Approach:variational autoencoder· 2 Approach:deep learning· 1 Approach:graph neural network· 1

Frequent Co-Authors

Allon WagneriD· 2 shared Daniel P. LewinsohniD· 2 shared Nicolas DiasiD· 2 shared Zachary D. SmithiD· 2 shared Gokul GowriiD· 1 shared JoAnne VillagranaiD· 1 shared Jonathan S. WeissmaniD· 1 shared Kaelyn SumigrayiD· 1 shared

Activity by Year

2026-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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2 shared papersBioinformatics

Allon WagnerORCID

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2 papers

Recent·Most cited

Extracting interpretable single-cell metabolic states with graph-guided representation learning

Daniel P. Lewinsohn, Nicolas Dias, Adelina Chau, Yuko Koike, Zachary D. Smith, Nilah M. Ioannidis, Allon Wagner

The paper introduces MeRN, a graph-guided variational autoencoder for learning single-cell metabolic states from transcriptomes, and identifies metabolic drivers in various biological contexts.

bioRxiv · Sep 24, 2026 · PreprintBioinformatics

Folate deficiency disrupts key metabolic transitions within the developing neural ectoderm

Nicolas Dias, Daniel P. Lewinsohn, William N. Colgan, Minming Wang, Yusuke Kijima, JoAnne Villagrana, Tien-Chi Jason Hou, Gokul Gowri, Adelina Chau, Tuğçe Aktaş, Kaelyn Sumigray, Jonathan S. Weissman, Luke W. Koblan, Allon Wagner, Zachary D. Smith

This study uses a deep-learning model to analyze scRNA-seq data and identifies how folate deficiency disrupts metabolic transitions in developing mouse neural ectoderm, leading to morphological defects.

bioRxiv · Sep 22, 2026 · PreprintGenomics