Chen, Wenan

Methylome-Wide Association Study of Schizophrenia: Identifying Blood Biomarker Signatures of Environmental Insults

Aberg, K. A., McClay, J. L., Nerella, S., Clark, S., Kumar, G., Chen, W., Khachane, A. N., Xie, L., Hudson, A., Gao, G., et al. (2014) · JAMA Psychiatry

Epigenetics and DNA MethylationSchizophrenia research and treatment

Cited by 248

Metabolic heterogeneity underlies reciprocal fates of TH17 cell stemness and plasticity

Karmaus, P. W. F., Chen, X., Lim, S. A., Herrada, A. A., Nguyen, T.-L. M., Xu, B., Dhungana, Y., Rankin, S., Chen, W., Rosencrance, C., et al. (2019) · Nature

T-cell and B-cell ImmunologyPsoriasis: Treatment and Pathogenesis

Cited by 215

UMI-count modeling and differential expression analysis for single-cell RNA sequencing

Chen, W., Li, Y., Easton, J., Finkelstein, D., Wu, G., & Chen, X. (2018) · Genome Biology

Single-cell and spatial transcriptomicsGene expression and cancer classification

Cited by 113

Incorporating Functional Annotations for Fine-Mapping Causal Variants in a Bayesian Framework Using Summary Statistics

Chen, W., McDonnell, S. K., Thibodeau, S. N., Tillmans, L. S., & Schaid, D. J. (2016) · Genetics

Genetic Associations and EpidemiologyGenetic Mapping and Diversity in Plants and Animals

Cited by 52

A comparison of methods accounting for batch effects in differential expression analysis of UMI count based single cell RNA sequencing

Chen, W., Zhang, S., Williams, J., Ju, B., Shaner, B., Easton, J., Wu, G., & Chen, X. (2020) · Computational and Structural Biotechnology Journal

Single-cell and spatial transcriptomicsGene expression and cancer classification

Cited by 44