GSRI

GSRI quantifies the number of differentially expressed genes within predefined gene sets by computing a gene set regulation index to assess coordinated expression changes.

Key Features:

• Gene Set Regulation Index: Calculates a regulation index for predefined gene sets to quantify collective expression changes.
• Estimation of Differentially Expressed Genes: Estimates the number of differentially expressed genes within specific gene sets.
• Statistical Analysis for Gene Sets: Uses statistical analysis to determine differential expression at the gene-set level rather than individual genes.
• Integration with Bioconductor: Implemented as an R package compatible with the Bioconductor ecosystem to enable interoperability with Bioconductor data structures and workflows.
• R-Based Implementation: Implemented in R to leverage statistical programming and the R package ecosystem.

Scientific Applications:

• Genomics Research: Applied to genomics studies to reveal coordinated regulation across gene sets and pathways.
• Molecular Biology Studies: Used to explore complex molecular interactions and regulatory mechanisms by analyzing gene-set level expression changes.

Methodology:

Performs statistical analysis on predefined gene sets by calculating a regulation index that reflects the collective expression changes of genes within each set.