David Tyler Severson

This study uses single-cell RNA-sequencing and other omics data to analyze the molecular features of pleural mesothelioma subtypes and identify potential drivers of tumor cell states.

The paper uses single-cell RNA-seq to compare Barretts esophagus with normal esophageal tissues, finding transcriptional similarities with esophageal cells but not with gastric or duodenal cells.

BEARscc improves single-cell RNA-seq clustering by simulating technical replicates using RNA spike-ins to reduce technical variance.