Monther Alhamdoosh

This paper compares long-read sequencing technologies to identify RNA quality issues in lentiviral vectors, finding Nanopore direct RNA sequencing most effective for detecting incomplete RNA.

The paper introduces two methods to handle group heteroscedasticity in pseudo-bulk single-cell RNA-seq data, showing improved error control and power compared to existing methods.

This paper uses machine learning on whole-blood RNA-seq data to stratify SLE patients into clusters, revealing gene expression patterns linked to disease activity and clinical outcomes.

EGSEA combines twelve GSE algorithms to improve gene set enrichment results, outperforming individual methods on simulated and real data.