Zeng, Zexian

Transfer learning enables predictions in network biology

Theodoris, C. V., Xiao, L., Chopra, A., Chaffin, M. D., Al Sayed, Z. R., Hill, M. C., Mantineo, H., Brydon, E. M., Zeng, Z., Liu, X. S., et al. (2023) · Nature

Bioinformatics and Genomic NetworksGene Regulatory Network Analysis

Cited by 1,193

Therapeutically Increasing MHC-I Expression Potentiates Immune Checkpoint Blockade

Gu, S. S., Zhang, W., Wang, X., Jiang, P., Traugh, N., Li, Z., Meyer, C., Stewig, B., Xie, Y., Bu, X., et al. (2021) · Cancer Discovery

Cancer Immunotherapy and BiomarkersImmunotherapy and Immune Responses

Cited by 273

Natural Language Processing for EHR-Based Pharmacovigilance: A Structured Review

Luo, Y., Thompson, W. K., Herr, T. M., Zeng, Z., Berendsen, M. A., Jonnalagadda, S. R., Carson, M. B., & Starren, J. (2017) · Drug Safety

Pharmacovigilance and Adverse Drug ReactionsBiomedical Text Mining and Ontologies

Cited by 200

Statistical and machine learning methods for spatially resolved transcriptomics data analysis

Zeng, Z., Li, Y., Li, Y., & Luo, Y. (2022) · Genome Biology

Single-cell and spatial transcriptomicsGene expression and cancer classification

Cited by 186

Early prediction of acute kidney injury following ICU admission using a multivariate panel of physiological measurements

Zimmerman, L. P., Reyfman, P. A., Smith, A. D. R., Zeng, Z., Kho, A., Sanchez-Pinto, L. N., & Luo, Y. (2019) · BMC Medical Informatics and Decision Making

Acute Kidney Injury ResearchMachine Learning in Healthcare

Cited by 100

Machine Learning Modeling of Protein-Intrinsic Features Predicts Tractability of Targeted Protein Degradation

Zhang, W., Roy Burman, S. S., Chen, J., Donovan, K. A., Cao, Y., Shu, C., Zhang, B., Zeng, Z., Gu, S., Zhang, Y., et al. (2022) · Genomics, Proteomics & Bioinformatics

Protein Degradation and InhibitorsComputational Drug Discovery Methods

Cited by 51

Machine learning modeling of protein-intrinsic features predicts tractability of targeted protein degradation

Zhang, W., Roy Burman, S. S., Chen, J., Donovan, K. A., Cao, Y., Zhang, B., Zeng, Z., Zhang, Y., Li, D., Fischer, E. S., et al. (2021) · Genomics Proteomics & Bioinformatics

Protein Degradation and InhibitorsComputational Drug Discovery Methods

Cited by 51