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95% confidence intervals (CIs) for median differences were calculated with the bootstrapping method using the R bootstrapping package.
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The web mode, available at http://64.79.105.19/ligp/, offers a user-friendly interface developed using bootstrap packages for layout formatting, a JBrowse plugin [ 22] and jqGrid [ 23].
OncoRep is developed within the open-source software environments R (v3.0.2) [ 20] and Bioconductor (v2.13) [ 21] using the knitr & knitr bootstrap packages for creating the patient report in HTML format and Sweave package for creating the PDF-based report.
Finally, the leave-one-out jackknife estimate was performed using bootstrap-package 2012-04-0 (Tibshirani and Leisch 2012) to determine the standard error for each D value of each cluster and significant deviations from zero were tested using a two tailed z-test.
As the global clustering was not certain, we decided to look for significant tight subgroups using cluster mining with bootstrapping implemented in R package pvclust.
To classify SCLC from other lung cancer types, unsupervised clustering of the SSHN genes was performed by bootstrapping analysis using pvclust package [ 69].
Standard errors of the reliabilities were computed for both BLUP and Bayesian models using bootstrapping through the R-package "boot" [ 24].
We used the varSelRFBoot function from the varSelRF Bioconductor package to perform bootstrapping.
Confidence intervals for d are obtained by bootstrapping using the R boot package [ 49– 51].
To evaluate confidence in the clustering results, the R bootstrap resampling package pvclust was used.
Both the CART and bootstrapping analyses were performed in R software [ 45] using the R-package rpart.
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