bio-experimental-design-sample-size
OfficialEstimate needed sample sizes for omics studies.
Data & Analytics#omics#differential-expression#sample-size#experimental-design#power-analysis#rnaseq#statistical-design
Authorstellaromics
Version1.0.0
Installs0
System Documentation
What problem does it solve?
Estimates required biological replicates and sample sizes for omics experiments to achieve a target statistical power, aiding budgeting and grant proposals.
Core Features & Use Cases
- Cross-omics sample size estimation for RNA-seq (bulk and single-cell), ChIP-seq, methylation, and proteomics.
- Power and dispersion-informed calculations using R packages (ssizeRNA, DESeq2, powsimR) with example workflows.
- Use cases include planning experiments, parameter estimation from pilot data, and preparing grant proposals with realistic sample-size arguments.
Quick Start
Instruct the AI to estimate the per-group sample size for my omics study given expected effect sizes and pilot dispersion estimates.
Dependency Matrix
Required Modules
None requiredComponents
Standard package💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: bio-experimental-design-sample-size Download link: https://github.com/stellaromics/fast-bioinfo/archive/main.zip#bio-experimental-design-sample-size Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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