CellSTAR: a comprehensive resource for single-cell transcriptomic annotation.

ABSTRACT: Large-scale studies of single-cell sequencing and biological experiments have successfully revealed expression patterns that distinguish different cell types in tissues, emphasizing the importance of studying cellular heterogeneity and accurately annotating cell types. Analysis of gene expression profiles in these experiments provides two essential types of data for cell type annotation: annotated references and canonical markers. In this study, the first comprehensive database of single-cell transcriptomic annotation resource (CellSTAR) was thus developed. It is unique in (a) offering the comprehensive expertly annotated reference data for annotating hundreds of cell types for the first time and (b) enabling the collective consideration of reference data and marker genes by incorporating

SUBMITTER: Zhang Y 

PROVIDER: S-EPMC10767908 | biostudies-literature | 2024 Jan

REPOSITORIES: biostudies-literature