HIGHLIGHTS
- who: D. Dovydas Kiu00e4iatovas from the Institute for Molecular Medicine (FIMM) have published the article: Identification of multiplicatively acting modulatory mutational signatures in cancer, in the Journal: (JOURNAL)
- what: The authors propose an extension to the additive signature model-multiplicatively acting processes-and develop a maximum-likelihood framework to identify such The authors propose a multiplicative adjustment, i.e. rescaling the net outcome of additive mutation signatures by multiplying the profile with a modulatory mutational signature that can be iteratively learned from the observed mutation data using the log-likelihood maximization algorithm. The authors investigate . . .
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