sc-cell-annotation

What problem does it solve?

This Skill automates the complex and time-consuming process of assigning biological cell types to individual cells or clusters within single-cell sequencing data, moving beyond manual, subjective methods.

Core Features & Use Cases

• Automated Cell Type Annotation: Utilizes marker genes, pre-trained models (CellTypist), or reference datasets (SingleR, scmap) to label cells.
• Multi-Method Support: Integrates various annotation strategies for robust and consensus-based labeling.
• Use Case: After performing single-cell RNA sequencing on a new tissue sample, use this Skill to automatically identify and label immune cell populations like T cells, B cells, and NK cells, as well as other cell types, based on known marker genes and established annotation models.

Quick Start

Annotate the provided single-cell data using the CellTypist immune model.