bioRxivBioinformaticsPreprint
CellClick: an interactive platform for adjustable and accurate cell type annotation in single-cell and spatial omics data
Lei ShiiD, Min DaiiDauthor, Yongbo ZhangiD, Song WuiD, M WangiD, Xiu‐Jie WangiD
Abstract
Single-cell omics and spatial omics technologies are nowadays widely used in biological and medical research. In both single-cell and spatial omics data analysis, accurate cell type annotation is a key step for downstream analysis and scientific discoveries. However, high-quality cell annotation usually requires multiple rounds of manual analysis for result refinement, which poses great challenges to most researchers. Here, we present CellClick, an interactive platform for convenient and accurate cell type annotation in single-cell and spatial omics data. CellClick provides Data Preprocessing, Data Visualization, Cell Annotation, Annotation Validation, and Cell Reannotation modules, which facilitate automatic or user-guided cell selection and annotation. The feasibility of using CellClick to generate more accurate cell annotation results was exemplified by both scRNA-seq and spatial transcriptomics data.
- assay: scRNA-seq
- assay: spatial transcriptomics
- research focus: cell type annotation
- approach: experimental assay
- Citations
- 0
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