perseus-statistical-analyzer

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Perseus statistical analysis skill for proteomics data analysis and visualization

AI & Automation 814 stars 53 forks Updated today MIT

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Skill Content

# 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)

Details

Author
a5c-ai
Repository
a5c-ai/babysitter
Created
4 months ago
Last Updated
today
Language
JavaScript
License
MIT

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