Dylan M. Cable

This study identifies IL13 as a survival factor for Hodgkin lymphoma cells by analyzing the tumor microenvironment with spatial and single-cell resolution.

The paper identifies rare variant polygenic risk scores as more effective than common variant polygenic risk scores in identifying individuals with outlier phenotypes in common human diseases and complex traits.

Whole-brain snRNA-seq paired with Slide-seq assigns cell types to each mouse neuroanatomical structure; most clusters need at least three markers to be defined uniquely.

The paper introduces a statistical method to detect cell type-specific differential gene expression in spatial transcriptomics data and validates it using simulations and real datasets.

The paper introduces spASE, a method to detect spatial patterns in allele-specific expression from spatial transcriptomics data, showing it can identify cell type-specific effects in mouse hippocampus.

This paper introduces RCTD, a method to decompose cell type mixtures in spatial transcriptomics, improving cell type assignment and enabling discovery of spatially dependent gene expression.