数据与复现生物信息与基因组学FreedomIntelligence/OpenClaw-Medical-Skills数据与复现

bio-flow-cytometry-bead-normalization

维护者 FreedomIntelligence · 最近更新 2026年4月1日

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.

OpenClawNanoClaw分析处理复现实验bio-flow-cytometry-bead-normalization🧬 bioinformatics (gptomics bio-* suite)bioinformatics — immunoinformatics & flow cytometrybead

原始来源

FreedomIntelligence/OpenClaw-Medical-Skills

https://github.com/FreedomIntelligence/OpenClaw-Medical-Skills/tree/main/skills/bio-flow-cytometry-bead-normalization

维护者: FreedomIntelligence
许可: MIT
最近更新: 2026年4月1日

技能摘要

来自 SKILL.md 的关键信息

2 min

核心说明

R：CATALYST：：normCytof() ，用于 EQ bead normalization。
Normalize my CyTOF data ，使用 beads" → Correct instrument signal drift over acquisition time ，使用 EQ calibration bead intensities ，用于 consistent measurements across runs. R：CATALYST：：normCytof() ，用于 EQ bead normalization。
ff <- read.FCS('cytof_with_beads.fcs')。

原始文档

SKILL.md 摘录

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.

library(CATALYST)
library(flowCore)

## EQ beads contain known amounts of: Ce140, Eu151, Eu153, Ho165, Lu175

bead_channels <- c('Ce140Di', 'Eu151Di', 'Eu153Di', 'Ho165Di', 'Lu175Di')

## Identify bead events (high signal in bead channels)

bead_data <- exprs(ff)[, bead_channels]
bead_scores <- rowMeans(scale(bead_data))