Learning mutational signatures and their multidimensional genomic properties with TensorSignatures

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.

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Bibliographic Details
Main Authors:	Harald Vöhringer, Arne Van Hoeck, Edwin Cuppen, Moritz Gerstung
Format:	article
Language:	EN
Published:	Nature Portfolio 2021
Subjects:	Science Q
Online Access:	https://doaj.org/article/2405297639f64e50aa0d98e47f6b0bb5
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id	oai:doaj.org-article:2405297639f64e50aa0d98e47f6b0bb5
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spelling	oai:doaj.org-article:2405297639f64e50aa0d98e47f6b0bb52021-12-02T17:40:23ZLearning mutational signatures and their multidimensional genomic properties with TensorSignatures10.1038/s41467-021-23551-92041-1723https://doaj.org/article/2405297639f64e50aa0d98e47f6b0bb52021-06-01T00:00:00Zhttps://doi.org/10.1038/s41467-021-23551-9https://doaj.org/toc/2041-1723Currently 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.Harald VöhringerArne Van HoeckEdwin CuppenMoritz GerstungNature PortfolioarticleScienceQENNature Communications, Vol 12, Iss 1, Pp 1-16 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Science Q
spellingShingle	Science Q Harald Vöhringer Arne Van Hoeck Edwin Cuppen Moritz Gerstung Learning mutational signatures and their multidimensional genomic properties with TensorSignatures
description	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.
format	article
author	Harald Vöhringer Arne Van Hoeck Edwin Cuppen Moritz Gerstung
author_facet	Harald Vöhringer Arne Van Hoeck Edwin Cuppen Moritz Gerstung
author_sort	Harald Vöhringer
title	Learning mutational signatures and their multidimensional genomic properties with TensorSignatures
title_short	Learning mutational signatures and their multidimensional genomic properties with TensorSignatures
title_full	Learning mutational signatures and their multidimensional genomic properties with TensorSignatures
title_fullStr	Learning mutational signatures and their multidimensional genomic properties with TensorSignatures
title_full_unstemmed	Learning mutational signatures and their multidimensional genomic properties with TensorSignatures
title_sort	learning mutational signatures and their multidimensional genomic properties with tensorsignatures
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/2405297639f64e50aa0d98e47f6b0bb5
work_keys_str_mv	AT haraldvohringer learningmutationalsignaturesandtheirmultidimensionalgenomicpropertieswithtensorsignatures AT arnevanhoeck learningmutationalsignaturesandtheirmultidimensionalgenomicpropertieswithtensorsignatures AT edwincuppen learningmutationalsignaturesandtheirmultidimensionalgenomicpropertieswithtensorsignatures AT moritzgerstung learningmutationalsignaturesandtheirmultidimensionalgenomicpropertieswithtensorsignatures
_version_	1718379750819364864

Learning mutational signatures and their multidimensional genomic properties with TensorSignatures

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