Clomial fits binomial distributions to counts obtained from Next Gen Sequencing data of multiple samples of the same tumor. The trained parameters can be interpreted to infer the clonal structure of the tumor.
|Author||Habil Zare and Alex Hu|
|Bioconductor views||Bayesian Clustering DNASeq ExomeSeq GeneticVariability Genetics MultipleComparison Sequencing TargetedResequencing|
|Date of publication||None|
|Maintainer||Habil Zare <email@example.com>|
|License||GPL (>= 2)|
breastCancer: Breast cancer data for clonal decomposition.
choose.best: Chooses the best trained Clomial model.
Clomial: Fits several binomial models to data from multiple samples of...
Clomial1000: Pre-computed results of Clomial.
Clomial.generate.data: Generates simulated data to test performance of Clomial...
Clomial.iterate: Runs EM iterations until convergence of the Clomial model.
Clomial.likelihood: Computes the complete data log-likelihood of a Clomial model.
Clomial-package: Fits a binomial model to data from multiple samples of a...
compute.bic: Computes BIC for a Clomial model.
compute.errors: Computes the error of a Clomial model.
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