PathVar

PathVar detects and ranks differential variance in gene and protein expression within biological pathways to identify pathway deregulation across experimental conditions.

Key Features:

• Differential variance detection: Identifies differences in within-pathway variance of gene and protein expression across conditions.
• Pathway-level ranking: Analyzes and ranks gene or protein sets based on differences in their within-pathway expression variances.
• Statistical variance analysis: Employs advanced statistical techniques to identify significant changes in the variance of expression levels within pathways.
• Machine learning integration: Integrates machine learning methodologies to leverage identified variance patterns for downstream analyses.
• Microarray support: Applicable to microarray gene and protein expression datasets where pathway deregulation may manifest as variance changes.
• Complementary approach: Focuses on variance-based pathway deregulation as a complement to conventional mean-level differential expression analyses.

Scientific Applications:

• Pathway deregulation detection: Identify pathways exhibiting altered within-pathway variance between biological conditions.
• Discovery of novel deregulation patterns: Uncover pathway deregulation patterns that may be missed by mean-based differential expression methods.
• Sample clustering: Cluster samples using identified variance patterns to group similar expression profiles.
• Sample classification: Construct classification models that classify samples based on pathway variance signatures.
• Functional genomics investigations: Apply variance-based analyses to investigate regulatory changes in gene and protein expression in functional genomics studies.

Methodology:

PathVar analyzes and ranks gene and protein sets by comparing within-pathway expression variances across experimental conditions, employs advanced statistical techniques to identify significant variance changes, and integrates machine learning methodologies for clustering and sample classification.