Lei Zhang

This study identifies genetic comorbidities and potential biomarkers for Alzheimer's disease through pleiotropy analysis and functional network studies.

This paper identifies hub biomarkers and pathways for glaucoma using network medicine approaches and validates them with text-mining and genomic data.

DeepHINT predicts HIV-1 integration sites and explains their selection using an attention-based deep learning framework, outperforming conventional methods.

TITER predicts translation initiation sites using deep learning on QTI-seq data, outperforming existing methods and identifying sequence signatures for different TIS codons.