PairsBootRefFreeEwasModel: Bootstrap for Reference-Free EWAS Model, Accounting for...
In RefFreeEWAS: EWAS using Reference-Free DNA Methylation Mixture Deconvolution

Description Usage Arguments Details Value Author(s) References See Also Examples

Bootstrap procedure for reference-free method for conducting EWAS while deconvoluting DNA methylation arising as mixtures of cell types. This version accounts for paired data (e.g. twin data)

1	PairsBootRefFreeEwasModel(mod, nboot, pairID)

`mod`	model object of class RefFreeEwasModel (generated with smallOutput=FALSE).
`nboot`	Number of bootstrap samples to generate.
`pairID`	Pair IDs (one unique value per pair).

Generates the bootstrap samples for the reference-free method for conducting EWAS while deconvoluting DNA methylation arising as mixtures of cell types. This paired version facilitates the estimation of robust standard errors to account for paired data (e.g. twin data) using a strategy similar to that employed by Generalized Estimating Equations (GEEs). Specifically, in bootstrapping the errors, the pairs are sampled rather than individual arrays. An error will be generated unless each cluster has exactly two members (i.e. exactly two observations correspond to the same unique ID given in pairID).

An array object of class “BootRefFreeEwasModel”. Bootstraps are generated for both Beta and Bstar.

E. Andres Houseman

Houseman EA, Molitor J, and Marsit CJ (Bioinformatics, 2014), Reference-Free Cell Mixture Adjustments in Analysis of DNA Methylation Data. Bioinformatics, doi: 10.1093/bioinformatics/btu029.

RefFreeEwasModel,BootRefFreeEwasModel

data(RefFreeEWAS)

## Not run: 
  tmpDesign <- cbind(1, rfEwasExampleCovariate)
  tmpBstar <- (rfEwasExampleBetaValues 

  EstDimRMT(rfEwasExampleBetaValues-tmpBstar 

## End(Not run)

test <- RefFreeEwasModel(
  rfEwasExampleBetaValues,
  cbind(1,rfEwasExampleCovariate),
  4)

testBoot <- BootRefFreeEwasModel(test,10)
summary(testBoot)