ROBUST DISCOVERY OF MUTATIONAL SIGNATURES USING POWER POSTERIORS.

ABSTRACT: Mutational processes, such as the molecular effects of carcinogenic agents or defective DNA repair mechanisms, are known to produce different mutation types with characteristic frequency profiles, referred to as mutational signatures. Non-negative matrix factorization (NMF) has successfully been used to discover many mutational signatures, yielding novel insights into cancer etiology and targeted therapies. However, the NMF model is only a rough approximation to reality, and even small departures from this assumed model can have large negative effects on the accuracy and reliability of the results. We propose a new approach to mutational signatures analysis that improves robustness to misspecification by using a power posterior for a fully Bayesian NMF model, while employing a sparsity-ind

SUBMITTER: Xue C 

PROVIDER: S-EPMC11566004 | biostudies-literature | 2024 Oct

REPOSITORIES: biostudies-literature