PheNetic

PheNetic infers mechanistic sub-networks from gene lists derived from omics experiments by applying a decision-theoretic approach to a comprehensive interaction network assembled from publicly available data.

Key Features:

• Decision-Theoretic Methodology: Applies a decision-theoretic framework to prioritize sub-networks emphasized by input gene lists from omics experiments.
• Interaction Network Utilization: Leverages a comprehensive interaction network built from publicly available data to identify relevant connections between genes.
• Mechanistic Insight Generation: Extracts mechanistic views of biological processes and pathways by highlighting prioritized sub-networks linked to the input gene lists.

Scientific Applications:

• Escherichia coli knockout compendium reanalysis: Reanalyzed gene expression profiles of 27 E. coli knock-out mutants under mild acidic conditions and recovered previously described acid resistance mechanisms.

Methodology:

Selects sub-networks from an interaction network that are emphasized by input gene lists, with the selection guided by decision-theoretic principles.