Wei Wang

The paper develops ARES to analyze TF binding data and finds that motif readers, not canonical TFs, determine regulatory outcomes.

The paper uses in vivo single-cell gain-of-function screening to identify latent transcriptional programs that reprogram T cells into synthetic states with enhanced therapeutic potential.

The paper identifies immune alterations preceding rheumatoid arthritis onset and provides tools for dataset exploration.

RESP2 is an AI pipeline for antibody discovery that optimizes multiple properties and targets, achieving high success rates in binding affinity and specificity.

This study investigates how viral infection affects DC progenitor development, finding that glucocorticoids suppress pDC generation by altering transcriptional and epigenetic programs.

The paper integrates epigenomic and transcriptomic data from lung tumors and non-neoplastic tissues to identify cancer-related signaling networks and regulatory changes.

The paper identifies joint-specific regulatory patterns in rheumatoid arthritis fibroblast-like synoviocytes by integrating chromatin accessibility and transcriptional data, revealing differences in proliferation, migration, and inflammation between hand and non-hand joints.

The paper identifies epigenetic changes in frontal cortex of schizophrenia patients, showing antipsychotic treatment reverses some alterations and amplifies age effects.

The paper predicts somatic mutation rates in 13 cancers using DNA motifs and identifies impactful motifs and cancer-specific regions for classification.

The paper identifies functional CREs in iPSCs and neurons and links them to neuropsychiatric disease risk variants.

The paper identifies key transcription factors in immune cell specification using integrated transcriptomic and epigenomic data across mouse and human cell types.

The paper identifies regulation associated modules (RAMs) from histone modifications that reflect 3D chromatin modularity aligned with chromatin activity, showing stronger insulation and functional relevance compared to TADs.

The paper identifies non-coding genomic regions critical for chromatin organization and cell viability, showing their structural importance despite lacking epigenomic signals or annotated elements.

CRISPRpath enables parallel characterization of cis-regulatory elements for multiple genes in a pathway, identifying functional enhancers and distinguishing their impact on gene expression.

The paper systematically maps chromatin state landscapes during mouse development by profiling histone modifications across 72 tissue-stages, identifying dynamic enhancers and transcriptional regulators.

This study identifies one known and two novel genetic variants associated with heart failure through GWAS and multi-omic analyses, revealing potential causal mechanisms and shared heritability with musculoskeletal traits.

The paper identifies DNA motifs associated with methylation and unmethylation and shows their functional relevance in DNA methylation regulation and cancer.

The paper identifies critical transcription factors and their regulatory networks during mouse embryonic development using epigenomic and transcriptomic data.