sigfit-package: sigfit: flexible Bayesian inference of mutational signatures
In kgori/sigfit: Flexible Bayesian inference of mutational signatures
Description
This package implements Bayesian models for fitting and extracting mixtures of
mutational signatures from mutation count data. It provides interfaces to four different
Bayesian signature models (multinomial, Poisson, normal and negative binomial), as well as
auxiliary functions for analysing and plotting resulting data. Markov chain Monte Carlo
sampling is performed using Stan.
References
Gori K, Baez-Ortega A (2018). sigfit: flexible Bayesian inference of mutational signatures. bioRxiv, 372896. DOI: 10.1101/372896.
kgori/sigfit documentation built on Feb. 3, 2022, 12:04 p.m.
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Description
This package implements Bayesian models for fitting and extracting mixtures of mutational signatures from mutation count data. It provides interfaces to four different Bayesian signature models (multinomial, Poisson, normal and negative binomial), as well as auxiliary functions for analysing and plotting resulting data. Markov chain Monte Carlo sampling is performed using Stan.
References
Gori K, Baez-Ortega A (2018). sigfit: flexible Bayesian inference of mutational signatures. bioRxiv, 372896. DOI: 10.1101/372896.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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