PAGER Web APP

PAGER Web APP performs integrative gene set, network, and pathway analysis (GNPA) to support downstream functional genomics interpretation of omics-derived gene lists.

Key Features:

• Automated GNPA workflows: Automates integrative downstream analysis of gene sets, networks, and pathways.
• R scripting: Provides R scripting to execute and customize GNPA analyses.
• Integrative analysis: Combines gene set enrichment, network modeling, and pathway identification into a cohesive workflow.
• Expression signature extraction: Extracts expression signatures from differential expression results.
• Comparative analysis: Enables comparison of results with other GNPA platforms such as DAVID, EnrichR, and WebGestaltR.

Scientific Applications:

• Gene list annotation: Annotates gene lists derived from omics profiling experiments using GNPA approaches.
• Expression signature analysis: Identifies and extracts expression signatures for downstream interpretation.
• Pathway and network discovery: Identifies biological pathways and network modules relevant to complex biological processes.
• Cancer and drug-resistance research: Applies GNPA to studies such as melanoma drug resistance to uncover pathways and network modules associated with phenotypes.

Methodology:

Uses R scripting to automate GNPA tasks and integrates gene set enrichment, network modeling, and pathway identification.