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)