twostepsva.build: A function for estimating surrogate variables with the two step approach of Leek and Storey 2007
Description
This function is the implementation of the two step approach for estimating surrogate
variables proposed by Leek and Storey 2007 PLoS Genetics. This function is primarily
included for backwards compatibility. Newer versions of the sva algorithm are available
through sva, svaseq, with low level functionality available
through irwsva.build and ssva.
Usage
twostepsva.build(dat, mod, n.sv)
Arguments
dat
The transformed data matrix with the variables in rows and samples in columns
mod
The model matrix being used to fit the data
n.sv
The number of surogate variables to estimate
Value
sv The estimated surrogate variables, one in each columnpprob.gam: A vector of the posterior probabilities each gene is affected by heterogeneitypprob.b A vector of the posterior probabilities each gene is affected by mod (this is always null for the two-step approach)n.sv The number of significant surrogate variables