SCAVENGE
importedsoftware/scavenge
SCAVENGE is a method to optimize the inference of functional and genetic associations to specific cells at single-cell resolution.
Machine-generated from the listed sources and not yet reviewed by a human.
- Category
- Software & Systems
- Subcategory
- unknown
- License
- GPL-3.0(osi)
- Status
- dormant
- Maturity
- deployed
- Organization
- sankaranlab
- Country
- unknown
- Homepage
- unknown
- Repository
- github.com/sankaranlab/SCAVENGE
- Documentation
- unknown
- Tags
- causal-celltype · cell-heterogeneity · cell-state · cell-trajectory · complex-traits · disease-celltype · disease-mechanisms · fine-mapping
- Regulatory
- unknown
Top contributors by commit count, from the project’s public repository. Avatars are served by their origin, not stored here. To be removed from this list, open an issue.
Computed from shared tags, weighted so a rare tag counts for more than a common one. These are suggestions, not curated relationships.
- GeneticsMakie.jlfine-mapping
🧬High-performance genetics- and genomics-related data visualization using Makie.jl
- redeemRcell-state
R package for ReDeeM: single-cell Regulatory multi-omics with Deep Mitochondrial mutation profiling.
- biomedgpsdisease-mechanisms
A knowledge graph system with graph neural network for drug repurposing and disease mechanism.
- api.github.com/repos/sankaranlab/SCAVENGEretrieved 2026-08-05 · via github-api
Machine-imported from GitHub search. Last push 2023-09-01, 95 stars, license reported as GPL-3.0. Category and schematic were assigned by keyword heuristics and are unreviewed.
Not yet verified by a human. Correct this record →
/v1/entries/11.json→ .entries["scavenge"]
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