Using sigLASSO to optimize cancer mutation signatures jointly with sampling likelihood
The next generation sequencing has provided the opportunity to look for signatures of carcinogenesis on a genome wide scale. Here, the authors develop the algorithm, sigLASSO, that provides confidence in assigning mutational signatures when the mutation count is low and the samples used are variable...
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Nature Publishing Group
2020-07-01
|
| Series: | Nature Communications |
| Online Access: | https://doi.org/10.1038/s41467-020-17388-x |