Learning mutational signatures and their multidimensional genomic properties with TensorSignatures

We present TensorSignatures, an algorithm to learn mutational signatures jointly across different variant categories and their genomic localisation and properties. The analysis of 2778 primary and 3824 metastatic cancer genomes of the PCAWG consortium and the HMF cohort shows that all signatures ope...

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Detalles Bibliográficos
Autores principales: Vöhringer, Harald, Hoeck, Arne Van, Cuppen, Edwin, Gerstung, Moritz
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8206343/
https://www.ncbi.nlm.nih.gov/pubmed/34131135
http://dx.doi.org/10.1038/s41467-021-23551-9

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8206343/
https://www.ncbi.nlm.nih.gov/pubmed/34131135
http://dx.doi.org/10.1038/s41467-021-23551-9

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