gersteinlab/siglasso: Optimizing Cancer Mutation Signatures Jointly with Sampling Likelihood
siglasso jointly optimizes the likelihood of sampling and signature fitting to attribute signatures in cancer samples. It uses L1 regulairzation, is able to take priors and sensitive to observed mutation counts.
Getting started
Browse package contents
Package details |
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| Author | Shantao Li |
| Maintainer | Shantao Li <shantaolee@GMAIL> |
| License | GPL (>= 3) |
| Version | 1.1 |
| URL | siglasso.gersteinlab.org |
| Package repository | View on GitHub |
| Installation |
Install the latest version of this package by entering the following in R:
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