Yong Wang

This study identifies a compound that inhibits RhoA activation by stabilizing its GDP state, reducing myocardial remodeling and fibrosis in heart failure models.

This study identifies statins as effective in targeting chemoresistant pancreatic cancer by inhibiting cholesterol metabolism and protein glycosylation, showing clinical benefit in a phase 2 trial.

CellPolaris uses transfer learning to generate cell-type-specific gene regulatory networks from transcriptomic data, achieving state-of-the-art results in predicting regulatory factors and simulating cell fate transitions.

SpecVar improves heritability enrichment by integrating regulatory networks with GWAS data to identify relevant tissues and shared heritability.

The paper identifies ruminant-specific conserved non-coding elements and develops a method to interpret their regulatory roles in rumen development using gene regulatory networks.

OpenAnnotate provides a web server for efficiently annotating chromatin accessibility of genomic regions across biosamples, tissues, and systems.

GuidingNet predicts DNA methyltransferase genome-wide binding by integrating multi-omics data and reveals transcriptional cofactors involved in methylation.

The paper introduces DeepExpression, a CNN model that predicts gene expression using promoter sequences and HiChIP enhancer-promoter interactions, outperforming baselines in classification and regression tasks.

The paper introduces coupled nonnegative matrix factorizations to integrate single cell RNA-seq and ATAC-seq data by coupling clustering across samples.

The paper identifies TFAP2C and p63 as key regulators of epidermal lineage commitment and shows TFAP2C initiates differentiation while p63 drives maturation through chromatin dynamics.

AC-PCA reduces dimensionality and adjusts for confounding variation in biological datasets, recovering anatomical structure and shared variation across species.