bio-single-cell-cell-communication
Infer cell-cell communication networks from scRNA-seq data using CellChat, NicheNet, and LIANA for ligand-receptor interaction analysis. Use when inferring ligand-receptor interactions between cell types.
npx skills add FreedomIntelligence/OpenClaw-Medical-Skills --skill bio-single-cell-cell-communication --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
## Version Compatibility Reference examples tested with: ggplot2 3.5+, scanpy 1.10+ Before using code patterns, verify installed versions match. If versions differ: - Python: `pip show <package>` then `help(module.function)` to check signatures - R: `packageVersion('<pkg>')` then `?function_name` to verify parameters If code throws ImportError, AttributeError, or TypeError, introspect the installed package and adapt the example to match the actual API rather than retrying. # Cell-Cell Communication Analysis **"Infer cell-cell communication from my scRNA-seq data"** → Predict ligand-receptor interactions between cell types and visualize intercellular signaling networks. - R: `CellChat::createCellChat()` → `computeCommunProb()` → `netAnalysis()` - Python: `liana.method.cellchat()` (LIANA framework) ## CellChat (R) **Goal:** Infer and quantify intercellular communication networks from scRNA-seq data using curated ligand-receptor databases. **Approach:** Create a CellChat object from a Seurat object with cell type labels, select a signaling database subset, identify overexpressed ligands/receptors, compute communication probabilities using the trimean method, then aggregate into pathwa
- Version Compatibility
- CellChat (R)
- CellChat Visualization
- CellChat Pathway Analysis
- Compare Conditions (CellChat)
- NicheNet (R)
- NicheNet Visualization
- LIANA (Python)
- LIANA with Tensor Decomposition
- Related Skills
What does the bio-single-cell-cell-communication skill do?
Infer cell-cell communication networks from scRNA-seq data using CellChat, NicheNet, and LIANA for ligand-receptor interaction analysis. Use when inferring ligand-receptor interactions between cell types.
How do I install it?
Run `npx skills add FreedomIntelligence/OpenClaw-Medical-Skills --skill bio-single-cell-cell-communication --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From FreedomIntelligence/OpenClaw-Medical-Skills, a repository with 2,909 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.