RZIMM-SCRNA: A REGULARIZED ZERO-INFLATED MIXTURE MODEL FRAMEWORK FOR SINGLE-CELL RNA-SEQ DATA

Mi, X., Bekerman, W., Rustgi, A. K., Sims, P. A., Canoll, P. D., & Hu, J. (2024). RZiMM-scRNA: A regularized zero-inflated mixture model framework for single-cell RNA-seq data. The Annals of Applied Statistics, 18(1). https://doi.org/10.1214/23-aoas1761

Authors:

Xinlei Mi

William Bekerman

Anil K. Rustgi

Peter A. Sims

Peter D. Canoll

Jianhua Hu

Affiliated Authors:

Xinlei Mi

William Bekerman

Anil K. Rustgi

Peter A. Sims

Peter D. Canoll

Jianhua Hu

Columbia Affiliation:

Mailman School of Public Health
- Department of Biostatistics

Author Keywords:

single cell

mixture model

clustering

batch effect

dropout

elink

Publication Type:

Article

Unique ID:

10.1214/23-AOAS1761

DOI:

10.1214/23-AOAS1761

Journal:

Annals of Applied Statistics

Publication Date:

2024-03-01

Data Source:

Web of Science

Source Link:

View Web of Science Record

Record Created:

Wednesday, December 11, 2024 - 12:24