Li, Mingyao

New insights into the genetic etiology of Alzheimer’s disease and related dementias

Bellenguez, C., Küçükali, F., Jansen, I. E., Kleineidam, L., Moreno-Grau, S., Amin, N., Naj, A. C., Campos-Martin, R., Grenier-Boley, B., Andrade, V., et al. (2022) · Nature Genetics

Alzheimer's disease research and treatmentsDementia and Cognitive Impairment Research

Cited by 2,498

Single-cell transcriptomics of the mouse kidney reveals potential cellular targets of kidney disease

Park, J., Shrestha, R., Qiu, C., Kondo, A., Huang, S., Werth, M., Li, M., Barasch, J., & Suszták, K. (2018) · Science

Single-cell and spatial transcriptomicsRenal and related cancers

Cited by 1,065

Joint regression analysis of correlated data using Gaussian copulas

Song, P. X. ‐., Li, M., & Yuan, Y. (2009) · Biometrics

Statistical Methods and Bayesian InferenceFinancial Risk and Volatility Modeling

Cited by 201

Plasma HDL cholesterol and risk of myocardial infarction: a mendelian randomisation study

Voight, B. F., Peloso, G. M., Orho-Melander, M., Frikke-Schmidt, R., Barbalic, M., Jensen, M. K., Hindy, G., Hólm, H., Ding, E. L., Johnson, T., et al. (2012) · The Lancet

Genetic Associations and EpidemiologyLipoproteins and Cardiovascular Health

Cited by 148

Resolving tissue complexity by multimodal spatial omics modeling with MISO

Coleman, K., Schroeder, A., Loth, M., Zhang, D., Park, J. H., Sung, J.-Y., Blank, N., Cowan, A. J., Qian, X., Chen, J., et al. (2025) · Nature Methods

Single-cell and spatial transcriptomicsGene expression and cancer classification

Cited by 87