Zhao, Hongyu

Evaluating the Utilities of Foundation Models in Single-cell Data Analysis

Liu, T., Li, K., Wang, Y., Li, H., & Zhao, H. (2023) · Advanced Science

Single-cell and spatial transcriptomicsGene expression and cancer classification

Cited by 62

Evidence for association between multiple complement pathway genes and AMD

Dinu, V., Miller, P. L., & Zhao, H. (2007) · Genetic Epidemiology

Retinal Diseases and TreatmentsGenetic Associations and Epidemiology

Cited by 58

The Interplay Between Risky Sexual Behaviors and Alcohol Dependence: Genome-Wide Association and Neuroimaging Support for LHPP as a Risk Gene

Polimanti, R., Wang, Q., Meda, S. A., Patel, K. T., Pearlson, G. D., Zhao, H., Farrer, L. A., Kranzler, H. R., & Gelernter, J. (2017) · Neuropsychopharmacology

Genetic Associations and EpidemiologySubstance Abuse Treatment and Outcomes

Cited by 43

Factor structure of cognition and functional capacity in two studies of schizophrenia and bipolar disorder: Implications for genomic studies.

Harvey, P. D., Aslan, M., Du, M., Zhao, H., Siever, L. J., Pulver, A., Gaziano, J. M., & Concato, J. (2016) · Neuropsychology

Schizophrenia research and treatmentBipolar Disorder and Treatment

Cited by 42

A comparison of graph- and kernel-based –omics data integration algorithms for classifying complex traits

Yan, K. K., Zhao, H., & Pang, H. (2017) · BMC Bioinformatics

Bioinformatics and Genomic NetworksGene expression and cancer classification

Cited by 34

scELMo: Embeddings from Language Models are Good Learners for Single-cell Data Analysis

Liu, T., Chen, T., Zheng, W., Luo, X., Chen, Y., & Zhao, H. (2023) · Patterns

Single-cell and spatial transcriptomicsGene expression and cancer classification

Cited by 30

scMODAL: a general deep learning framework for comprehensive single-cell multi-omics data alignment with feature links

Wang, G., Zhao, J., Lin, Y., Liu, T., Zhao, Y., & Zhao, H. (2025) · Nature Communications

Single-cell and spatial transcriptomicsBioinformatics and Genomic Networks

Cited by 29

scMODAL: A general deep learning framework for comprehensive single-cell multi-omics data alignment with feature links

Wang, G., Zhao, J., Lin, Y., Liu, T., Zhao, Y., & Zhao, H. (2024) · Nature Communications

Single-cell and spatial transcriptomicsBioinformatics and Genomic Networks

Cited by 28

Single-cell transcriptomic atlas of Alzheimer's disease middle temporal gyrus reveals region, cell type, and sex specificity of gene expression with novel genetic risk for MERTK in female

Zhang, L., Liu, T., He, C. H., Russo, A., Coffey, S., Yin, D., Hsu, I.-U., Zhang, C., Ye, Y., Su, C., et al. (2026) · Journal of Alzheimer’s Disease

Alzheimer's disease research and treatmentsSingle-cell and spatial transcriptomics

Cited by 22

Genome‐wide association study of body mass index in subjects with alcohol dependence

Polimanti, R., Zhang, H., Smith, A. H., Zhao, H., Farrer, L. A., Kranzler, H. R., & Gelernter, J. (2017) · Addiction Biology

Genetic Associations and EpidemiologyGenetic Mapping and Diversity in Plants and Animals

Cited by 22

Muse-gnn: Learning unified gene representation from multimodal biological graph data

Liu, T., Wang, Y., Ying, R., & Zhao, H. (2023) · Advances in Neural Information Processing Systems 36

Bioinformatics and Genomic NetworksAdvanced Graph Neural Networks

Cited by 15