Agent skill · Data & Analytics

bio-flow-cytometry-bead-normalization

Bead-based normalization for CyTOF and high-parameter flow cytometry. Covers EQ bead normalization, signal drift correction, and batch normalization. Use when correcting instrument drift in CyTOF or harmonizing data across batches.

FreedomIntelligencegithub.com/FreedomIntelligenceGitHub ↗
claude-code
Install
npx skills add FreedomIntelligence/OpenClaw-Medical-Skills --skill bio-flow-cytometry-bead-normalization --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 3
SKILL.md size: 10 KB
Bundled scripts: none
Path: skills/bio-flow-cytometry-bead-normalization/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 2,909
Language: Python
Read our review of the source →

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

## 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. # Bead Normalization **"Normalize my CyTOF data using beads"** → Correct instrument signal drift over acquisition time using EQ calibration bead intensities for consistent measurements across runs. - R: `CATALYST::normCytof()` for EQ bead normalization ## CyTOF EQ Bead Normalization **Goal:** Identify EQ normalization bead events in CyTOF data for signal calibration. **Approach:** Score events by mean scaled intensity in known bead channels (Ce140, Eu151, Eu153, Ho165, Lu175) and threshold at the 99th percentile. ```r library(CATALYST) library(flowCore) # CyTOF data typically includes EQ normalization beads # Fluidigm provides normalizer software, but can also do in R # Load FCS with beads ff <- read.FCS('cytof_with_beads.fcs') # EQ beads contain known amounts of: Ce140, Eu151, Eu153, Ho16

What's inside
Steps it walks through
  1. Version Compatibility
  2. CyTOF EQ Bead Normalization
  3. Calculate Normalization Factors
  4. Apply Normalization
  5. Time-Based Drift Correction
  6. Batch Normalization with CytoNorm
  7. Quantile Normalization
  8. CATALYST-Based Normalization
  9. Visualization
  10. Export Normalized Data
  11. Related Skills
Ships with 2 files
  • examples/bead_normalize.R
  • usage-guide.md
More from OpenClaw-Medical-Skills
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About this skill
What does the bio-flow-cytometry-bead-normalization skill do?

Bead-based normalization for CyTOF and high-parameter flow cytometry. Covers EQ bead normalization, signal drift correction, and batch normalization. Use when correcting instrument drift in CyTOF or harmonizing data across batches.

How do I install it?

Run `npx skills add FreedomIntelligence/OpenClaw-Medical-Skills --skill bio-flow-cytometry-bead-normalization --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.

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