Author

E. Purdom

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Open access Oct 2026

“Double-dipping” in testing for phenotypic differences with scRNA-Seq

For the purpose of differential expression (DE) analysis in single-cell RNA-sequencing (scRNA-Seq), phenotype differences between samples are often tested within specific cell types. Cell types are regularly imputed by clustering the same gene expression data which is later used for phenotype testing. This creates the...

Nicolas Sanchez, Lucas Etourneau, E. Purdom · bioRxiv · 0 citations

Open access Jul 2026

Evolving stem cell fate capacities and transcriptional priming in the developing olfactory epithelium

The olfactory epithelium of adult mammals contains two populations of stem cells that support its remarkable ability to regenerate neuronal and non-neuronal cell types throughout life. How olfactory epithelial cell types are established during development, however, is not well understood. Here, we use genetic lineage t...

Dana Bakalar, Catie Kaneshiro, Chloe Zhao et al. · bioRxiv · 0 citations

Open access Aug 2026

A statistical framework for disease classification with scRNA-Seq Data

This work introduces a two-stage statistical framework for interpretable patient-level disease classification from single-cell data, and recovered biologically coherent, cell-type specific gene signatures consistent with known disease mechanisms, demonstrating improved interpretability without sacrificing predictive ac...

Zhi-Wei Xiao, William Torous, Jeffrey B. Cheng et al. · bioRxiv · 0 citations