PathExNET

PathExNET generates pathway expression networks by integrating over- and under-expression information from differential gene expression analyses to reveal pathway interactions across biological experiments relevant to complex diseases.

Key Features:

• Pathway-to-Pathway Expression Networks: Constructs networks that map interactions between different pathways based on their over- and under-expression status.
• Differential Gene Expression Integration: Integrates over- and under-expression information derived from differential gene expression analyses.
• Numeric Characterization of Pathways: Computes numeric characterizations of pathway expression profiles associated with specific biological experiments or diseases.
• Network Combination Generation: Produces diverse combinations of pathway networks to enable comparative and combinatorial analyses.
• Network-level Characterization for Individualized Profiling: Characterizes pathways at the network level to support individualization of disease profiles.

Scientific Applications:

• Complex Disease Mechanism Analysis: Analyzes pathway interactions across multiple experiments to investigate mechanisms underlying complex diseases.
• Biomarker and Therapeutic Target Discovery: Identifies unique pathway expression profiles that can serve as disease-specific biomarkers or therapeutic targets.
• Precision and Personalized Medicine: Integrates data from multiple experiments into cohesive network models to inform precision medicine and treatment management.

Methodology:

Integrates over- and under-expression information derived from differential gene expression analyses to construct pathway-to-pathway expression networks, compute numeric pathway characterizations, and generate combinations of pathway networks.