Using sigLASSO to optimize cancer mutation signatures jointly with sampling likelihood

Multiple mutational processes drive carcinogenesis, leaving characteristic signatures in tumor genomes. Determining the active signatures from a full repertoire of potential ones helps elucidate mechanisms of cancer development. This involves optimally decomposing the counts of cancer mutations, tab...

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Detalles Bibliográficos
Autores principales: Li, Shantao, Crawford, Forrest W., Gerstein, Mark B.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7368050/
https://www.ncbi.nlm.nih.gov/pubmed/32681003
http://dx.doi.org/10.1038/s41467-020-17388-x

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7368050/
https://www.ncbi.nlm.nih.gov/pubmed/32681003
http://dx.doi.org/10.1038/s41467-020-17388-x

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