decon.bootstrap {DeconRNASeq} | R Documentation

## Estimate the confidence interval for the proportions predicted by deconvolution

### Description

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

### Usage

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

### Arguments

`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

### Value

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

### Author(s)

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

### References

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.

[Package DeconRNASeq version 1.29.0 Index]