Nature Communications (Jun 2021)

Learning mutational signatures and their multidimensional genomic properties with TensorSignatures

  • Harald Vöhringer,
  • Arne Van Hoeck,
  • Edwin Cuppen,
  • Moritz Gerstung

DOI
https://doi.org/10.1038/s41467-021-23551-9
Journal volume & issue
Vol. 12, no. 1
pp. 1 – 16

Abstract

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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.