Learning mutational signatures and their multidimensional genomic properties with TensorSignatures

oleh: Harald Vöhringer, Arne Van Hoeck, Edwin Cuppen, Moritz Gerstung

Format: Article
Diterbitkan: Nature Portfolio 2021-06-01

Deskripsi

Currently available tools for the analysis of mutational signatures do not make use of all possible genomic properties aside from mutation patterns. Here the authors present TensorSignatures, an efficient framework that jointly infers mutational signatures and their genomic determinants.