Meta DBs and Consensus Analysis
Q-omics integrates over 1 billion multi-modal omics data points from public resources to compute more than 30 billion significant associations.
These associations are reinforced with pan-cancer consensus scores across diverse methods, sample types and experiments, and stored in MetaDBs.
MetaDBs and Consensus socres are the foundation for large data models (Bio-LDMTM) and machine learning to enable robust discovery of drug targets, biomarkers and underlying mechanisms.
See "What is consensus scoring?"