A Statistical Method for Association Analysis of Cell Type Compositions.

ABSTRACT: Gene expression data are often collected from tissue samples that are composed of multiple cell types. Studies of cell type composition based on gene expression data from tissue samples have recently attracted increasing research interest and led to new method development for cell type composition estimation. This new information on cell type composition can be associated with individual characteristics (e.g., genetic variants) or clinical outcomes (e.g., survival time). Such association analysis can be conducted for each cell type separately followed by multiple testing correction. An alternative approach is to evaluate this association using the composition of all the cell types, thus aggregating association signals across cell types. A key challenge of this approach is to account for th

SUBMITTER: Huang L 

PROVIDER: S-EPMC8735261 | biostudies-literature | 2021 Dec

REPOSITORIES: biostudies-literature