cell-annotation

What problem does it solve?

Automates and guides the assignment of cell-type labels to single-cell RNA-seq data by integrating marker-guided evidence, reference atlas transfer, and confidence-aware curation to reduce manual curation time and improve consistency.

Core Features & Use Cases

• Automated cell-type annotation using marker review and reference transfer
• Confidence-aware labeling with per-cell and per-cluster outputs for uncertainty handling
• Outputs include annotated labels, marker summaries, and annotation notes for reproducibility
• Real-world use case: annotate a newly generated PBMC scRNA-seq atlas against a reference atlas to produce a ready-to-publish cell-type map

Quick Start

Run the annotation workflow on a processed scRNA-seq dataset to obtain per-cell labels, confidence scores, and a cluster-level summary.