Author

Ryan Weber

University of California, Irvine

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· 1 Genomics· 1 Neuroscience· 1

Signature Assays, Organisms & Methods

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Approach:statistical model· 3 Research Focus:differential expression· 2 Assay:scRNA-seq· 2 Research Focus:batch correction / integration· 1 Assay:DNA methylation· 1 Organism:human· 1 Organism:mouse· 1

Frequent Co-Authors

Ali MortazaviiD· 3 shared Ingileif B. HallgrímsdóttiriD· 2 shared Lior S. PachteriD· 2 shared A. Sina BooeshaghiiD· 1 shared Annabel K. ShortiD· 1 shared Barbara J. WoldiD· 1 shared Brian A. WilliamsiD· 1 shared Christina Wilcox ThaiiD· 1 shared

Activity by Year

2024-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 31 mutual co-author links

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3 shared papersBioinformatics

Ali MortazaviORCID

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

Single-Cell Genomics Decontamination with CellSweep

Maya Caskey, Joseph Matthew Rich, Ryan Weber, Ali Mortazavi, Lior S. Pachter, Ingileif B. Hallgrímsdóttir

CellSweep removes technical contamination from single-cell genomics data, improving accuracy in downstream analysis.

bioRxiv · Mar 6, 2026 · PreprintBioinformatics

Systematic cell-type resolved transcriptomes of 8 tissues in 8 lab and wild-derived mouse strains captures global and local expression variation

Elisabeth Rebboah, Ryan Weber, Elnaz Abdollahzadeh, Nikhila P. Swarna, Delaney K. Sullivan, Diane E. Trout, Fairlie Reese, Heidi Yahan Liang, Ghassan Filimban, Parvin Mahdipoor, Margaret Duffield, Romina Mojaverzargar, Erisa Taghizadeh, Negar Fattahi, Negar Mojgani, , Ali Mortazavi

The paper characterizes transcriptomes across 8 tissues in 8 mouse strains to identify expression variation linked to genetic differences and phenotypic traits.

Cell Genomics · Dec 31, 2025Peer-reviewedGenomics

Within-subject changes in DNA-methylome profile identify individual signatures of early-life adversity, with a potential to predict neuropsychiatric outcome.

Annabel K. Short, Ryan Weber, Noriko Kamei, Christina Wilcox Thai, Hina Arora, Ali Mortazavi, Hal S. Stern, Laura M. Glynn, Tallie Z. Baram

This paper identifies DNA methylation changes in children linked to early-life adversity and shows their correlation with later executive function, with sex-dependent effects.

Neurobiology of Stress · May 31, 2024Peer-reviewedNeuroscience