RTopper

RTopper performs integrative gene set enrichment analyses across multiple genomic platforms to interpret diverse genomic measurements obtained from identical biological samples.

Key Features:

• Integration Across Platforms: Integrates results from multiple genomic datasets measured on identical biological samples to provide a unified analysis framework.
• Gene Set Utilization: Uses gene sets as a common scale to translate disparate genomic data types into a coherent, comparable format.
• Gene Set Enrichment Analysis: Performs and combines gene set enrichment analyses across different genomic datasets to highlight coordinated biological signals.

Scientific Applications:

• Detection of Genetic Effects: Identifies genetic influences that may operate through distinct mechanisms across samples by comparing gene set-level signals.
• Discovery and Validation of Disease-Related Gene Sets: Facilitates identification and validation of gene sets associated with disease by integrating evidence across multiple genomic data types.

Methodology:

Performs and integrates gene set enrichment analyses across genomic datasets by using gene sets as a common interpretative scale to harmonize diverse genomic data types.