AR
数据与复现
arxiv-database
arxiv-database：This skill provides Python tools ，用于 searching 、 retrieving preprints ，面向 arXiv.org ，通过 its public Atom A…
K-Dense-AI/claude-scientific-skills查看
数据与复现
BI
bio-flow-cytometry-differential-analysis
维护者 FreedomIntelligence · 最近更新 2026年4月1日
bio-flow-cytometry-differential-analysis：Differential abundance 、 state analysis ，用于 cytometry data。 比较 cell populations between conditions ，使用 statistical methods。 适合在testing ，用于 significant changes in cell frequencies 或 marker expression between groups时使用。
原始来源
FreedomIntelligence/OpenClaw-Medical-Skills
https://github.com/FreedomIntelligence/OpenClaw-Medical-Skills/tree/main/skills/bio-flow-cytometry-differential-analysis
- 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
核心说明
- R：CATALYST：：testDA_edgeR() 或 diffcyt：：testDA_GLMM()。
- 比较 cell populations between my conditions" → Test ，用于 significant changes in cell type frequencies (differential abundance) 或 marker expression levels (differential state) between experimental groups. R：CATALYST：：testDA_edgeR() 或 diffcyt：：testDA_GLMM()。
- sce <- readRDS('sce_clustered.rds')。
原始文档
SKILL.md 摘录
Differential Abundance (DA)
Goal: Test which cell population clusters differ in frequency between experimental conditions.
Approach: Create a design matrix and contrast from sample metadata, then run edgeR-based differential abundance testing on cluster counts per sample using testDA_edgeR from the diffcyt framework.
library(CATALYST)
library(diffcyt)
## Create design matrix
design <- createDesignMatrix(ei(sce), cols_design = 'condition')
## Create contrast
contrast <- createContrast(c(0, 1)) # Treatment vs Control
适用场景
- 适合在testing ，用于 significant changes in cell frequencies 或 marker expression between groups时使用。
不适用场景
- Do not rely on this catalog entry alone ，用于 installation 或 maintenance details。
上游相关技能
- clustering-phenotyping - Cluster data first
- gating-analysis - Compare gated populations
- differential-expression/de-results - Similar statistical concepts
相关技能
相关技能
BA
数据与复现
bayesian-optimizer
bayesian-optimizer：Bayesian optimization ，用于 experimental design 、 hyperparameter tuning in biomedical research。
FreedomIntelligence/OpenClaw-Medical-Skills查看
bio-alignment-files-bam-statistics：Compute alignment statistics：flagstat，idxstats，coverage depth。
FreedomIntelligence/OpenClaw-Medical-Skills查看
BI
bio-alignment-msa-statistics：Calculate alignment statistics ，涵盖 sequence identity，conservation scores，substitution matri…
FreedomIntelligence/OpenClaw-Medical-Skills查看