Lily Wang

This paper introduces a random forest-based method for multi-omics integration that separates shared and modality-specific signals, showing improved clustering and biological insights in simulations and real datasets.

This study identifies DNA methylation changes in aging and Alzheimer's disease using brain and blood data, finding concordant CpG sites associated with AD progression.

This study identifies age-associated DNA methylation changes in blood and their overlap with Alzheimer's disease by analyzing two cohorts and finding shared genetic variants and CpGs associated with both aging and AD.

MethReg identifies CpG sites with high regulatory potential by integrating DNA methylation, gene expression, and TF binding data to uncover TF-target gene associations in specific methylation contexts.

coMethDMR identifies differentially methylated regions by first selecting co-methylated sub-regions and then testing their association with phenotypes using a mixed effects model.