Estimate the confidence interval for the proportions predicted by deconvolution

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Description

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

Usage

1
      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.