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

bio-small-rna-seq-differential-mirna

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

Differential miRNA expression analysis with DESeq2/edgeR.

OpenClawNanoClaw分析处理复现实验bio-small-rna-seq-differential-mirna🧠 bioos extended suitebioos extended bioinformatics suitedifferential

原始来源

FreedomIntelligence/OpenClaw-Medical-Skills

https://github.com/FreedomIntelligence/OpenClaw-Medical-Skills/tree/main/skills/bio-small-rna-seq-differential-mirna

技能摘要

2 min

counts <- read.csv('miR.Counts.csv'，row.names = 1)。
coldata <- data.frame( sample = colnames(counts)，condition = factor(c('control'，'control'，'treated'，'treated'))，row.names = colnames(counts) )。

原始文档

dds <- DESeqDataSetFromMatrix( countData = round(counts), # DESeq2 requires integers colData = coldata, design = ~ condition )

keep <- rowSums(counts(dds)) >= 10 dds <- dds[keep, ]

res <- results(dds, contrast = c('condition', 'treated', 'control')) res <- res[order(res$padj), ]

Use bio-small-rna-seq-differential-mirna ，用于 genomics 、 bioinformatics workflows。
Apply bio-small-rna-seq-differential-mirna to sequencing，variant，或 omics analysis tasks。