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-cytometry-qc

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

Comprehensive quality control for flow cytometry and CyTOF data. Covers flow rate stability, signal drift, margin events, dead cell exclusion, and batch QC. Use when assessing acquisition quality or identifying problematic samples before analysis.

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

原始来源

FreedomIntelligence/OpenClaw-Medical-Skills

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

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：flowAI：：flow_auto_qc() ，用于 automated 异常检测。
运行 quality control on my flow cytometry data" → Assess acquisition quality by checking flow rate stability，signal drift，margin events，、 dead cell frequencies to identify problematic samples. R：flowAI：：flow_auto_qc() ，用于 automated 异常检测。
ff <- read.FCS('sample.fcs')。

原始文档

SKILL.md 摘录

Automated QC with flowAI

library(flowAI)
library(flowCore)

## Checks: flow rate, signal stability, dynamic range

qc_result <- flow_auto_qc(
    ff,
    folder_results = 'qc_output/',
    fcs_QC = TRUE,       # Export QC'd FCS
    html_report = TRUE,  # Generate HTML report
    mini_report = TRUE   # Also make summary
)

## QC metrics

cat('Original events:', nrow(ff), '\n')
cat('After QC:', nrow(ff_clean), '\n')
cat('Removed:', nrow(ff) - nrow(ff_clean), '(',
    round((1 - nrow(ff_clean)/nrow(ff)) * 100, 1), '%)\n')