Chen, Mengjie

Identification of a panel of five serum miRNAs as a biomarker for Parkinson's disease

Ding, H., Huang, Z., Chen, M., Wang, C., Chen, X., Chen, J., & Zhang, J. (2016) · Parkinsonism & Related Disorders

Parkinson's Disease Mechanisms and TreatmentsMicroRNA in disease regulation

Cited by 172

Robust covariance and scatter matrix estimation under Huber’s contamination model

Chen, M., Gao, C., & Ren, Z. (2018) · The Annals of Statistics

Advanced Statistical Methods and ModelsStatistical Methods and Inference

Cited by 146

Allele-specific open chromatin in human iPSC neurons elucidates functional disease variants

Zhang, S., Zhang, H., Zhou, Y., Qiao, M., Zhao, S., Kozlova, A., Shi, J., Sanders, A. R., Wang, G., Luo, K., et al. (2020) · Science

Genomics and Chromatin DynamicsGenetic Associations and Epidemiology

Cited by 127

Integrative differential expression and gene set enrichment analysis using summary statistics for scRNA-seq studies

Ma, Y., Sun, S., Shang, X., Keller, E. T., Chen, M., & Zhou, X. (2020) · Nature Communications

Single-cell and spatial transcriptomicsBioinformatics and Genomic Networks

Cited by 81

A molecular atlas of the human postmenopausal fallopian tube and ovary from single-cell RNA and ATAC sequencing

Lengyel, E., Li, Y., Weigert, M., Zhu, L., Eckart, H., Javellana, M., Ackroyd, S., Xiao, J., Olalekan, S., Glass, D., et al. (2022) · Cell Reports

Single-cell and spatial transcriptomicsReproductive Biology and Fertility

Cited by 78

A new Bayesian factor analysis method improves detection of genes and biological processes affected by perturbations in single-cell CRISPR screening

Zhou, Y., Luo, K., Liang, L., Chen, M., & He, X. (2023) · Nature Methods

Single-cell and spatial transcriptomicsGene expression and cancer classification

Cited by 34