perseus-statistical-analyzer
// Perseus statistical analysis skill for proteomics data analysis and visualization
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updated:March 4, 2026
SKILL.mdreadonly
SKILL.md Frontmatter
nameperseus-statistical-analyzer
descriptionPerseus statistical analysis skill for proteomics data analysis and visualization
allowed-toolsRead,Write,Glob,Grep,Edit,WebFetch,WebSearch,Bash
metadata[object Object]
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)