bio-experimental-design-power-analysis
Installation
SKILL.md
Version Compatibility
Reference examples tested with: RNASeqPower 1.42+, pwr 1.3+
Before using code patterns, verify installed versions match. If versions differ:
- R:
packageVersion("<pkg>")then?function_nameto verify parameters
If code throws ImportError, AttributeError, or TypeError, introspect the installed package and adapt the example to match the actual API rather than retrying.
Power Analysis for Sequencing Experiments
"How many replicates do I need for RNA-seq?" → Calculate statistical power or minimum sample size given sequencing depth, biological variability, and expected effect size.
- R:
RNASeqPower::rnapower(),pwr::pwr.t.test()
Core Concept
Power = probability of detecting a true effect. Underpowered studies waste resources; overpowered studies are inefficient.