Sven Schuierer

The paper introduces FLASH-Seq, a new single-cell RNA-seq method that improves sensitivity and reduces processing time compared to existing protocols.

The paper develops scAR, a machine learning model to remove ambient noise from single-cell omics data across multiple technologies, showing high denoising accuracy.

This study compares cell-type development and transcriptomes in human retinal organoids and adult retinas, finding convergence in transcriptomes and cell-type-specific disease gene expression.

The paper benchmarks scRNA-seq methods and introduces CellSIUS, a tool that improves detection of rare cell populations and identifies their functional signatures in human stem cell differentiation.