VarID
VarID quantifies local gene-expression variability in single-cell transcriptomes as part of the RaceID v0.1.4 suite to enhance detection of weakly expressed lineage-determining factors and resolve cell state transitions.
Key Features:
- Sensitivity to Weak Expression: Quantifies variability of weakly expressed genes within local neighborhoods to identify lineage-determining factors.
- Local Variability Quantification: Delineates regions with differential gene-expression variability across locally homogeneous neighborhoods in cell-state space.
- Pseudo-temporal Dynamics Analysis: Reveals pseudo-temporal dynamics of gene-expression variability to provide insight into differentiation pathways and transitions between cell states.
Scientific Applications:
- Cell State Transitions: Maps local variability and pseudo-temporal dynamics to analyze transitions between cell states.
- Murine Hematopoietic Progenitors and Intestinal Epithelial Cells: Applied to murine hematopoietic progenitors and intestinal epithelial cells to study differentiation and lineage specification.
Methodology:
Identifying locally homogenous neighborhoods in single-cell transcriptome space and quantifying local gene-expression variability to detect weakly expressed lineage-determining factors and map differential variability and pseudo-temporal dynamics.
Topics
Details
- Programming Languages:
- R
- Added:
- 1/14/2020
- Last Updated:
- 11/24/2024
Operations
Publications
Grün D. Revealing dynamics of gene expression variability in cell state space. Nature Methods. 2019;17(1):45-49. doi:10.1038/s41592-019-0632-3. PMID:31740822. PMCID:PMC6949127.