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R/AllClasses.R
In SVAPLSseq: SVAPLSseq-An R package to estimate the hidden factors of unwanted variability and adjust for them to enable a more powerful and accurate differential expression analysis based on RNAseq data
#' @title svplsSurr
#' @exportClass svplsSurr
setClass("svplsSurr", representation(surr = "matrix", prop.vars = "numeric"))
#' @title svplsTest
#' @exportClass svplsTest
setClass("svplsTest", representation(pvs.unadj = "numeric", pvs.adj = "numeric", sig.features = "character"))
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SVAPLSseq documentation built on April 28, 2020, 6:30 p.m.
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#' @title svplsSurr
#' @exportClass svplsSurr
setClass("svplsSurr", representation(surr = "matrix", prop.vars = "numeric"))
#' @title svplsTest
#' @exportClass svplsTest
setClass("svplsTest", representation(pvs.unadj = "numeric", pvs.adj = "numeric", sig.features = "character"))
Try the SVAPLSseq package in your browser
Any scripts or data that you put into this service are public.
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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