xMWAS

xMWAS integrates biochemical and phenotypic assay data with two or more heterogeneous omics datasets to build and compare integrative association networks and identify condition-specific changes in network topology.

Key Features:

• Multi-Omics Integration: Integrates biochemical and phenotypic assays with two or more omics platforms to extract cross-layer relationships.
• Network Visualization and Clustering: Provides network visualization and clustering to identify sub-networks and communities of highly connected entities.
• Differential Network Analysis: Evaluates and compares network topology and connectivity under varying conditions to detect condition-specific network changes.

Scientific Applications:

• Systems Biology: Enables integrative analyses to uncover complex molecular interactions and pathways across biological layers.
• Disease Mechanisms and Drug Response: Supports identification of condition-specific network alterations relevant to disease mechanisms and drug response.
• Phenotypic Variation Analysis: Aids in linking multi-omics signatures to phenotypic variations.

Methodology:

Integrates biochemical and phenotypic assay data with multiple omics datasets, constructs integrative association networks, provides network visualization and clustering, and performs differential network analysis comparing network topology across conditions.