Cepo
Cepo explores cell identities from single-cell RNA-sequencing data by computing cell-type specific gene statistics using differential stability as a metric to define cell identity genes.
Key Features:
- Differential Stability Metric: Cepo uses differential stability as a new metric to define cell identity genes, quantifying the consistency of gene expression within cell types.
- Cell-Type Specific Gene Statistics: Cepo computes statistics pertaining to differential stable gene expression for identifying genes that define cell identity.
Scientific Applications:
- Cell Identity Definition: Cepo enables the exploration of cell identities to understand cellular heterogeneity in response to environmental signals and perturbations.
- Single-Cell RNA-Sequencing Analysis: Cepo is applied to single-cell RNA-sequencing datasets to identify genes that characterize distinct cell types.
Methodology:
Cepo computes cell-type specific gene statistics pertaining to differential stable gene expression.
Collections
Details
- License:
- MIT
- Tool Type:
- command-line tool, library
- Operating Systems:
- Linux, Mac, Windows
- Programming Languages:
- R
- Added:
- 9/1/2026
- Last Updated:
- 9/1/2026
Operations
Publications
Documentation
User manual
https://bioconductor.org/packages/Cepo