Bing Yao

Deep5hmC predicts genome-wide 5hmC modification using a multimodal deep learning model, outperforming unimodal models and existing methods in both qualitative and quantitative predictions.

The paper develops a patient/PDX-derived osteosarcoma organoid model and biobank to enable rapid testing of personalized immune therapies and drug development.

This paper introduces scaDA, a statistical method for differential chromatin accessibility analysis in scATAC-seq data, showing improved power and FDR control compared to existing methods.

The paper develops multi-task deep autoencoders to predict Alzheimer's disease progression using longitudinal DNA methylation data from peripheral blood and shows improved performance over existing methods.

WEVar integrates functional scores from multiple methods to predict noncoding regulatory variants, outperforming existing approaches in simulation and empirical studies.

The paper identifies brain microRNAs linked to late-life depressive symptoms and shows their association with cognitive decline and dementia risk.

This study shows that Prss53 loss in rabbits causes curved hair and skeletal dysplasia, with disrupted calcium metabolism implicated in these phenotypes.