A function is used to estimate the the confidence interval for the proportions predicted by deconvolution through bootstrapping.

1 | ```
decon.bootstrap(data.set, possible.signatures, n.sig, n.iter)
``` |

`data.set` |
the data object for mixing samples |

`possible.signatures` |
a data frame providing the expression values from pure tissue samples |

`n.sig` |
the number of genes/transcripts used for estimation of proportions from our deconvolution |

`n.iter` |
the number of bootstraps for our deconvolution |

A three dimentional array to store means and 95% confidence interval

Ting Gong tinggong@gmail.com Joseph D. Szustakowski joseph.szustakowski@novartis.com

Gong, T., et al. (2011) Optimal Deconvolution of Transcriptional Profiling Data Using Quadratic Programming with Application to Complex Clinical Blood Samples, PLoS One, 6, e27156.

Questions? Problems? Suggestions? Tweet to @rdrrHQ or email at ian@mutexlabs.com.

All documentation is copyright its authors; we didn't write any of that.