Carter Allen

This study uses a non-linear clustering approach in rats to identify distinct behavioral and neuronal profiles associated with heroin vulnerability and resiliency, reflecting human opioid use disorder heterogeneity.

The paper introduces BANYAN, a Bayesian model for analyzing community connectivity in spatial transcriptomics data, revealing cell interactions in tumor microenvironments and adipose tissue.

The paper uses spatial transcriptomics and the MAPLE algorithm to analyze fibrotic lung tissue, identifying spatial biomarkers and fibrotic programs in IPF.

RESEPT uses deep learning to visualize and characterize tissue architecture from spatial transcriptomics data, revealing pathological structures in Alzheimer's and glioblastoma samples.

This paper introduces SPRUCE, a Bayesian spatial multivariate mixture model for spatial transcriptomics data, which identifies cell sub-populations while accounting for skewness and spatial correlation.

IRIS-FGM is an R package for analyzing scRNA-Seq data to identify functional gene modules, cluster cells, and perform enrichment analysis, with support for Seurat objects.