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?"
References

Consensus analysis of large-scale omics data reveals inter-cancer heterogeneity and essential genes, Submitted 2025

NetCrafter: Ontology-based gene network construction and interpretation, Submitted 2025

Q-omics: Smart software for assisting oncology and cancer research, Mol Cells, 2021, 44(11):843-850
© CBiS Inc. All rights reserved. Since 2022.