David Wang

Programmable Surface Receptor-Mediated Cell Targeting with Designer Antibody-Routed Nanoparticles (DARTs)

The paper introduces DARTs, a platform for programmable cell targeting using antibody-conjugated nanoparticles, identifying new surface antigens for gene editing in neural cells.

A Deep Dive into Statistical Modeling of RNA Splicing QTLs Reveals New Variants that Explain Neurodegenerative Disease

The paper improves sQTL modeling by incorporating alternative splicing representation and introduces MAJIQTL, finding new sQTLs linked to Alzheimer's disease.

Treatment with IFB-088 improves neuropathy in CMT1A and CMT1B mice

This study shows that IFB-088 treatment improves neuropathy in two mouse models of CMT1B and CMT1A by reducing ER-stress and enhancing protein homeostasis.

A Joint Deep Learning Model for Simultaneous Batch Effect Correction, Denoising and Clustering in Single-Cell Transcriptomics

This paper introduces CarDEC, a deep learning model that simultaneously corrects batch effects, denoises, and clusters scRNA-seq data, outperforming existing methods in multiple evaluations.

Motto: Representing motifs in consensus sequences with minimum information loss

The paper introduces a method to convert position weight matrices into compact consensus sequences with minimal information loss, showing improved performance in identifying transcription factor binding sites.

Terminal uridylyltransferases target RNA viruses as part of the innate immune system in animals

The paper identifies terminal uridylyltransferases as a conserved antiviral mechanism in animals by uridylating viral RNA to promote degradation.

Dietary adaptation of FADS genes in Europe varied across time and geography

The paper shows that positive selection on FADS genes in Europe occurred before and after farming, with geographic variation and associations with lipid levels and disease risk.