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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...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2020
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| Materias: | |
| 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 |