perseus-statistical-analyzer
Perseus statistical analysis skill for proteomics data analysis and visualization
Best use case
perseus-statistical-analyzer is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Perseus statistical analysis skill for proteomics data analysis and visualization
Teams using perseus-statistical-analyzer should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/perseus-statistical-analyzer/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How perseus-statistical-analyzer Compares
| Feature / Agent | perseus-statistical-analyzer | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Perseus statistical analysis skill for proteomics data analysis and visualization
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# Perseus Statistical Analyzer Skill ## 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)
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