Clomial1000 {Clomial} | R Documentation

## Pre-computed results of Clomial.

### Description

Pre-computed results of Clomial function are provided for demo purposes. It contains 1000 trained models on counts data from multiple samples of a single primary breast cancer obtained by deep, next-generation sequencing.

### Usage

    data(Clomial1000)

### Format

`Clomial1000[["models"]]` is the list of trained models.

### Details

Each model is the output of `Clomial.iterate()` function on the `breastCancer` data assuming there are 4 clones.

### References

Inferring clonal composition from multiple sections of a breast cancer, Zare et al., Submitted.

### See Also

`Clomial`, `Clomial.iterate`, `choose.best`, `breastCancer`

### Examples

    data(Clomial1000)
    chosen <- choose.best(models=Clomial1000$models)
    M1 <- chosen$bestModel
    print("Genotypes:")
    round(M1$Mu)
    print("Clone frequencies:")
    M1$P
    bestInd <- chosen$bestInd
    plot(chosen$Li,ylab="Log-likelihood",type="l")
    points(x=bestInd,y=chosen$Li[bestInd],col="red",pch=19)

[Package Clomial version 1.16.0 Index]