Pascal Grobecker

This paper introduces a method to partition single-cell RNA-seq data into statistically distinct gene expression states with no tunable parameters, showing it recovers optimal partitions on synthetic data and identifies subtle substructure in real data.

The paper introduces a software tool to detect DUX4 rearrangements from whole-genome sequencing data, showing it can identify known and previously unidentified cases in a cohort of paediatric ALL patients.

The paper maps transcriptional dynamics in murine cortical development, identifying lineage shifts and gene regulatory networks in neural stem cells, basal progenitors, and newborn neurons.