Dai, Yang

Immune-evasive human islet-like organoids ameliorate diabetes

Yoshihara, E., O’Connor, C., Gasser, E., Wei, Z., Oh, T. G., Tseng, T. W., Wang, D., Cayabyab, F., Dai, Y., Yu, R. T., et al. (2020) · Nature

Pancreatic function and diabetesPluripotent Stem Cells Research

Cited by 333

Genome-wide DNA methylation analysis predicts an epigenetic switch for GATA factor expression in endometriosis

Dyson, M. T., Roqueiro, D., Monsivais, D., Ercan, C. M., Pavone, M. E., Brooks, D. C., Kakinuma, T., Ono, M., Jafari, N., Dai, Y., et al. (2014) · PLoS Genetics

Endometriosis Research and TreatmentEpigenetics and DNA Methylation

Cited by 211

MicroRNA-99 Family Targets AKT/mTOR Signaling Pathway in Dermal Wound Healing

Jin, Y., Tymen, S. D., Chen, D., Fang, Z. J., Zhao, Y., Dragas, D., Dai, Y., Marucha, P. T., & Zhou, X. (2013) · PLoS ONE

Wound Healing and TreatmentsMicroRNA in disease regulation

Cited by 172

Unveiling the cell-type-specific landscape of cellular senescence through single-cell transcriptomics using SenePy

Sanborn, M. A., Wang, X., Gao, S., Dai, Y., & Rehman, J. (2025) · Nature Communications

Telomeres, Telomerase, and SenescenceSingle-cell and spatial transcriptomics

Cited by 82

MiMeNet: Exploring microbiome-metabolome relationships using neural networks

Reiman, D., Layden, B. T., & Dai, Y. (2021) · PLOS Computational Biology

Gut microbiota and healthMetabolomics and Mass Spectrometry Studies

Cited by 80

A Random Sampling Technique for Training Support Vector Machines: For Primal-Form Maximal-Margin Classifiers

Balcázar, J., Dai, Y., & Watanabe, O. (2001) · Lecture Notes in Computer Science

Machine Learning and Data ClassificationMachine Learning and Algorithms

Cited by 71

Slc11a1 Enhances the Autoimmune Diabetogenic T-Cell Response by Altering Processing and Presentation of Pancreatic Islet Antigens

Dai, Y. D., Marrero, I. G., Gros, P., Zaghouani, H., Wicker, L. S., & Sercarz, E. E. (2009) · Diabetes

Diabetes and associated disordersT-cell and B-cell Immunology

Cited by 41

Generative AI can effectively manipulate data

Kim, J. J. H., Srivatsa, A. V., Nahass, G. R., Rusanov, T., Hwang, S., Kim, S., Solomon, I., Lee, T. H., Kadkol, S., Ajilore, O., et al. (2025) · AI and Ethics

Ethics and Social Impacts of AIArtificial Intelligence Applications

Cited by 15

Correction: Generative AI can effectively manipulate data

Kim, J. J. H., Srivatsa, A. V., Nahass, G. R., Rusanov, T., Hwang, S., Kim, S., Solomon, I., Lee, T. H., Kadkol, S., Ajilore, O., et al. (2025) · AI and Ethics

Ethics and Social Impacts of AIAdversarial Robustness in Machine Learning

Cited by 1