Perseus Statistical Analyzer Skill
SkillDev toolsPerseus statistical analysis skill for proteomics data analysis and visualization
Instructions available. Your AI can read the instructions. Execution depends on the setup they require.
Account requirements not reviewed. Check the skill instructions before use; ahel provides instructions and does not run this skill.
Add ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.
Then ask your AI: use the Perseus Statistical Analyzer Skill skill
What this skill tells your AI
The instructions your AI receives, as published by a5c-ai/babysitter in library/specializations/domains/science/bioinformatics/skills/perseus-statistical-analyzer/SKILL.md and read by ahel’s review.
Purpose
Enable Perseus statistical analysis for proteomics data analysis and visualization.
Capabilities
- Missing value imputation
- Normalization strategies
- Statistical testing (t-test, ANOVA)
- Hierarchical clustering
- PCA and enrichment analysis
- Publication-quality plots
Usage Guidelines
- Impute missing values appropriately
- Normalize data before statistical analysis
- Apply appropriate statistical tests
- Visualize results with clustering and PCA
- Generate publication-quality figures
- Document normalization and imputation methods
Dependencies
- Perseus
- MSstats
- limma
Process Integration
- Mass Spectrometry Proteomics Pipeline (ms-proteomics-pipeline)
- Multi-Omics Data Integration (multi-omics-integration)
Signals
- GitHub stars
- 2k
- Forks
- 112
- Last commit
- Sep 2026
Advanced
- Item type
- skill
- Key
perseus-statistical-analyzer- Source
- github.com/a5c-ai/babysitter