EcoXAI

Evaluate scientific hypotheses using appropriate statistical methods and predictive modeling while preserving standardized verdict outputs

Profile dataset structure, clean data quality issues, and produce exploration artifacts for downstream analysis

Generate diverse, novel, falsifiable hypotheses across statistical, ML, biological, and data-quality dimensions — querying existing hypotheses first to maximize coverage

Query alzkb.ai Alzheimer's knowledge graph using Neo4j Cypher. Use when answering questions about Alzheimer's disease, genes, drugs, biological processes, pathways, symptoms, molecular functions, cellular components, body parts, or drug classes from the alzkb.ai knowledge base. Triggers on queries like "find genes associated with...", "what drugs treat...", "which biological processes involve...", "how is X related to Y", or "query the alzkb knowledge graph".