decon.bootstrap: Estimate the confidence interval for the proportions...
In DeconRNASeq: Deconvolution of Heterogeneous Tissue Samples for mRNA-Seq data
Description
Usage
Arguments
Value
Author(s)
References
View source: R/decon.bootstrap.R
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.
DeconRNASeq documentation built on Nov. 8, 2020, 7:51 p.m.
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Description Usage Arguments Value Author(s) References
View source: R/decon.bootstrap.R
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.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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