Dennis Y.Q. Wang

This paper develops and benchmarks BrainAge models using multi-modal neuroimaging data from childhood cohorts to distinguish healthy from symptomatic developmental trajectories.

This paper develops a polygenic score for metabolic syndrome in early adulthood and shows it predicts cardiometabolic risk across the life course in Asian populations.

The paper shows diet intervention alters sncRNA expression in human sperm, linking paternal nutrition to offspring health through epigenetic changes.

Omada automates transcriptomic clustering by integrating machine learning, improving accessibility and robustness across diverse RNA expression datasets.

The paper creates a central repository for zebrafish developmental genomics data, identifies new cis-regulatory elements, and compares regulatory elements between zebrafish and mouse.

Periscope identifies and quantifies sub-genomic RNAs in SARS-CoV-2 genomic data, detecting canonical and non-canonical sgRNAs with high fidelity.

The paper shows that B.1.1.7 SARS-CoV-2 lineage has increased subgenomic RNA expression compared to other lineages, with a noncanonical sgRNA near ORF9b showing a 16-fold increase in median expression.

The paper develops a regularized functional regression model to identify dosage-dependent gene expression associations with cancer drug response using in vitro data.

The paper identifies genomic loci with systematic sequencing bias in clinical whole genomes and proposes a statistical method to flag suspect variants for quality control.

The paper identifies subpopulations with differential drug responses using unsupervised machine learning to discover novel target populations and effective drug combinations.

The paper presents a large-scale cancer pharmacogenomic screen with 11,576 experiments on 910 drug combinations across 85 cancer cell lines, enabling crowd-sourced prediction of synergistic drug pairs and biomarkers.

This study evaluates the use of Oxford Nanopore MinION long-read sequencing for detecting mtDNA deletions in mitochondrial disease diagnostics, finding it effective for large deletions but less reliable for single nucleotide variants.