SparseSignatures: An R package using LASSO-regularized non-negative matrix factorization to identify mutational signatures from human tumor samples

We outline the features of the R package SparseSignatures and its application to determine the signatures contributing to mutation profiles of tumor samples. We describe installation details and illustrate a step-by-step approach to (1) prepare the data for signature analysis, (2) determine the opti...

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Detalles Bibliográficos
Autores principales: Mella, Lorenzo, Lal, Avantika, Angaroni, Fabrizio, Maspero, Davide, Piazza, Rocco, Sidow, Arend, Antoniotti, Marco, Graudenzi, Alex, Ramazzotti, Daniele
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Protocol
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9256827/
https://www.ncbi.nlm.nih.gov/pubmed/35779264
http://dx.doi.org/10.1016/j.xpro.2022.101513

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9256827/
https://www.ncbi.nlm.nih.gov/pubmed/35779264
http://dx.doi.org/10.1016/j.xpro.2022.101513

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