Weixu Wang

RegVelo integrates gene regulatory networks with dynamic modeling to predict cellular changes and perturbations, showing improved performance in cell cycle, hematopoiesis, and pancreatic development datasets.

CellHermes integrates multimodal omics data using a biological language model, achieving comparable or better performance than single-cell models across various tasks.

The paper identifies TGIF2 as a key regulator of neural stem cell fate and neurogenic priming through transcriptomic and chromatin analysis in mouse brain development.

NetID identifies lineage-specific gene regulatory networks from scRNA-seq data by improving GRN inference through metacell-based analysis and avoids spurious correlations.

The paper identifies gene regulatory circuits controlling cranial neural crest migration and plasticity using multi-omics and computational methods.

This study uses scRNA-seq to show that DDX43 is essential for chromatin remodeling during spermiogenesis, with its deficiency causing defects in sperm nucleus condensation.

ENIGMA deconvolutes bulk RNA-seq into single-cell-type resolution using matrix completion, validated on simulated and disease-related datasets.