VBASS enables integration of single cell gene expression data in Bayesian association analysis of rare variants

Zhong, G., Choi, Y. A., & Shen, Y. (2023). VBASS enables integration of single cell gene expression data in Bayesian association analysis of rare variants. Communications Biology, 6(1). https://doi.org/10.1038/s42003-023-05155-9
Authors:
Guojie Zhong
Yoolim A. Choi
Yufeng Shen
Affiliated Authors:
Guojie Zhong
Yoolim A. Choi
Yufeng Shen
Columbia Affiliation:
Subjects:
Genomics (MeSH)
Comprehensive Integration of Single-Cell Transcriptomic Data (OpenAlex Topic)
Genomic Studies and Association Analyses (OpenAlex Topic)
Microarray Data Analysis and Gene Expression Profiling (OpenAlex Topic)
elink
Publication Type:
Article
Unique ID:
10.1038/s42003-023-05155-9
PMID:
37491581
DOI:
10.1038/s42003-023-05155-9
Journal:
Communications Biology
Publication Date:
Data Source:
Scopus
Source Link:
View Scopus Record
View OpenAlex Record
View PubMed Record

Record Created: