Mingxiang Teng

Genome-Wide Variations of End Motif in Cell-Free DNA Fragments Distinguish Immunotherapy Responders from Non-Responders in Head and Neck Cancer: A Multi-Institute Prospective Study

This study identifies a novel cfDNA fragmentomic metric, rMDS, that distinguishes immunotherapy responders from non-responders in HNSCC with high accuracy.

Epstein-Barr Virus Encoded lncRNAs Control the Viral Lytic Switch

This study identifies viral lncRNAs that regulate EBV reactivation by interacting with CTCF and modulating enhancer-promoter looping.

Peripheral blood somatic mosaicism and clonal hematopoiesis across ancestry backgrounds

The paper catalogs somatic mosaicism and clonal hematopoiesis mutations across diverse ancestry groups, finding ancestry-specific mutation patterns and associations with tumor types and age.

The DNA loop release factor WAPL suppresses Epstein-Barr virus latent membrane protein expression to maintain the highly restricted latency I program

This study shows that WAPL suppresses LMP1 and LMP2A expression in EBV latency I by altering DNA looping and histone marks, preventing the transition to latency II.

Summarizing internal dynamics boosts differential analysis and functional interpretation of super enhancers

The paper introduces a method to identify differential super enhancers by considering internal dynamics, revealing novel structural alterations with distinct regulatory impacts and improving identification compared to existing methods.

A practical guide to methods controlling false discoveries in computational biology

This paper benchmarks classic and modern false discovery rate methods in computational biology, finding modern methods with informative covariates offer modest power gains without sacrificing FDR control.

Accounting for GC-content bias reduces systematic errors and batch effects in ChIP-Seq data

The paper introduces a statistical method to account for GC-content bias in ChIP-Seq data, reducing false positives and improving cross-laboratory consistency.

Missing Data and Technical Variability in Single-Cell RNA- Sequencing Experiments

The paper examines technical variability and missing data in scRNA-seq, showing that technical zeros and cell-to-cell variation can confound biological findings.