Pan-Cancer Multi-Omics Agent

The Pan-Cancer Multi-Omics Agent integrates multi-omics data across cancer types to identify shared oncogenic drivers, discover novel subtypes, and enable cross-cancer therapeutic insights. It leverages TCGA, CPTAC, and other pan-cancer resources with deep learning for comprehensive cancer characterization.

When to Use This Skill

• When analyzing patient tumors in context of pan-cancer molecular profiles.
• To identify shared drivers and vulnerabilities across cancer types.
• For discovering novel molecular subtypes that span histological boundaries.
• When prioritizing therapeutic targets with pan-cancer evidence.
• To benchmark single-cancer findings against pan-cancer patterns.

Core Capabilities

1. Pan-Cancer Subtyping: ML-based clustering across 32+ cancer types to identify molecular subtypes transcending tissue of origin.

2. Driver Discovery: Integrate mutation, expression, and CNV data to identify oncogenic drivers using pan-cancer statistical power.