bio-flow-cytometry-doublet-detection
Detect and remove doublets from flow and mass cytometry data. Covers FSC/SSC gating and computational doublet detection methods. Use when filtering out cell aggregates before clustering or quantitative analysis.
npx skills add FreedomIntelligence/OpenClaw-Medical-Skills --skill bio-flow-cytometry-doublet-detection --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: flowCore 2.14+, ggplot2 3.5+ Before using code patterns, verify installed versions match. If versions differ: - 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. # Doublet Detection **"Remove doublets from my flow cytometry data"** → Detect and filter out cell aggregates using FSC-A/FSC-H gating or computational methods before clustering or quantitative analysis. - R: `flowCore` rectangular gates on FSC-A vs FSC-H ## FSC-A vs FSC-H Gating (Standard Method) ```r library(flowCore) library(ggcyto) # Load data fs <- read.flowSet(list.files('data/', pattern = '\\.fcs$', full.names = TRUE)) # FSC-A vs FSC-H for doublet discrimination # Singlets fall on diagonal, doublets have higher FSC-A for given FSC-H # Manual rectangular gate singlet_gate <- rectangleGate( filterId = 'singlets', 'FSC-A' = c(50000, 250000), 'FSC-H' = c(50000, 250000) ) # Or use polygon gate for diagonal singlet_polygon <- polygonGate( filterId = 'singlets', .gate = data.frame( 'FSC-A'
- Version Compatibility
- FSC-A vs FSC-H Gating (Standard Method)
- Automated Singlet Gating with flowDensity
- flowAI Quality Control
- FSC-A/FSC-W Method (Width Parameter)
- Ratio-Based Doublet Detection
- SSC-Based Doublet Detection
- CyTOF Doublet Detection
- CATALYST Workflow with Doublet Removal
- Batch Processing
- Visualization
- Related Skills
What does the bio-flow-cytometry-doublet-detection skill do?
Detect and remove doublets from flow and mass cytometry data. Covers FSC/SSC gating and computational doublet detection methods. Use when filtering out cell aggregates before clustering or quantitative analysis.
How do I install it?
Run `npx skills add FreedomIntelligence/OpenClaw-Medical-Skills --skill bio-flow-cytometry-doublet-detection --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.