Aaron K. Wong

A sequence-based global map of regulatory activity for deciphering human genetics

The paper introduces Sei, a deep learning framework that maps sequence-based regulatory activities to predict variant effects on traits and diseases using human genetics data.

DeepArk: modeling cis-regulatory codes of model species with deep learning

DeepArk uses deep learning to model cis-regulatory codes in four model species, accurately predicting regulatory features and variant impacts.

Genome-wide landscape of RNA-binding protein dysregulation reveals a major impact on psychiatric disorder risk

The paper identifies RBP target site dysregulation as a major contributor to psychiatric disorder risk, revealing new insights into disease heritability and providing a resource for further research.

Whole-genome deep learning analysis reveals causal role of noncoding mutations in autism

The paper uses deep learning to analyze whole-genome data from ASD families, showing noncoding mutations significantly impact transcriptional and post-transcriptional regulation and contribute to autism.

Tribe: The collaborative platform for reproducible web-based analysis of gene sets

Tribe enables reproducible, collaborative gene set analysis across multiple bioinformatics webservers and tools.