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

bio-experimental-design-batch-design

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

Optimize sample batching to minimize confounding with ComBat design.

OpenClawNanoClaw分析处理复现实验bio-experimental-design-batch-design🧠 bioos extended suitebioos extended bioinformatics suiteoptimize

原始来源

FreedomIntelligence/OpenClaw-Medical-Skills

https://github.com/FreedomIntelligence/OpenClaw-Medical-Skills/tree/main/skills/bio-experimental-design-batch-design

技能摘要

2 min

samples <- data.frame( sample_id = paste0('S'，1：24)，condition = rep(c('ctrl'，'treat')，each = 12)，sex = rep(c('M'，'F')，12) )。
batch_design <- osat(samples，batch_size = 8，balance_cols = c('condition'，'sex'))。

原始文档

Batch effects are unavoidable. Good design makes them correctable.

Never confound batch with condition - Each batch must contain all conditions
Balance samples across batches - Equal numbers per condition per batch
Randomize within constraints - Avoid systematic patterns
Include controls - Same samples across batches if possible

mod <- model.matrix(~condition, colData) mod0 <- model.matrix(~1, colData)

Use bio-experimental-design-batch-design ，用于 genomics 、 bioinformatics workflows。
Apply bio-experimental-design-batch-design to sequencing，variant，或 omics analysis tasks。