decon.bootstrap: 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

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.


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

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