GenePath2

GenePath2 infers genetic networks from mutant data using abductive reasoning and Prolog-based constraint synthesis to integrate experimental results with background knowledge and propose targeted experiments.

Key Features:

• Automated Network Inference: GenePath2 automates construction of genetic networks from mutant data using expert-defined patterns to uncover gene relationships.
• Abductive Reasoning and Constraint Elucidation: It employs abductive inference to derive network constraints from experimental results and existing genetic knowledge.
• Experiment Proposal: The system proposes new genetic experiments to refine inferred networks and test predicted interactions.
• Conflict Resolution and Cyclic Pathways Handling: It incorporates methods for resolving conflicting data and managing cyclic pathways during network synthesis.
• Confidence Level Assignment and What-If Analysis: GenePath2 assigns confidence levels to inferred interactions and supports what-if analyses to evaluate hypothetical scenarios.
• Explanation Mechanism: It traces each finding back to the supporting experimental data and background knowledge for transparency and validation.

Scientific Applications:

• Dictyostelium discoideum studies: GenePath2 has been applied to infer genetic interactions and pathways in Dictyostelium discoideum research.
• C. elegans studies: GenePath2 has been applied to infer genetic interactions and pathways in C. elegans research.
• Genetic pathway discovery and reasoning: It supports genetic reasoning by identifying potential pathways, interactions, and previously overlooked relationships from mutant data.

Methodology:

Implemented primarily in Prolog, GenePath2 uses abductive inference and expert-defined patterns as constraints to formalize analysis by integrating background knowledge with experimental results, and includes mechanisms for conflict resolution and cyclic pathway handling.