Bayesian NMF

Overview

Bayesian non-negative matrix factorization for de novo decomposition of mutational catalogs into signatures.

PMID:35927489 — applied as part of the CLL-map mutational signature analysis across 177 WGS samples, identifying aging, canonical AID (SBS84) enriched in clustered mutations in U-CLL, non-canonical AID (SBS85) enriched in M-CLL (p=1.6×10^-9), and SBS18 (reactive oxygen species) PMID:35927489.
Non-negative matrix factorization applied to mutation spectra of 1,144 NSCLC exomes; identified 6 mutational signatures mapping to COSMIC SI4 (smoking), SI7 (UV), SI13/SI2 (APOBEC), SI15/SI6 (MMR), and SI5 (clock-like) PMID:27158780
Bayesian NMF used for mutation-signature discovery in the TCGA esophageal/stomach study, identifying distinct C>A (smoking) and APOBEC signatures enriched in ESCC vs. EAC PMID:28052061.
Applied to 412 BLCA SNV catalogue resolving 5 mutational signatures: APOBEC-a, APOBEC-b, C>T at CpG, POLE, and an ERCC2 signature; APOBEC-a + APOBEC-b accounted for 67% of all SNVs PMID:28988769

Bayesian NMF is paired with whole-genome sequencing in the CLL cohort to support both de novo and reference-signature attribution PMID:35927489.

This page was processed by crosslinker on 2026-04-08. - PMID:27158780

This page was processed by wiki-cli on 2026-05-14. - PMID:28052061

This page was processed by wiki-cli on 2026-05-14. - PMID:28988769

This page was processed by entity-page-writer on 2026-05-15.