#' UniD: A package for unified diagnostic platform for gliomas.
#'
#' The UniD package use the DNA methylation microarray data to predict other
#' genomic information, including IDH mutation, ATRX mutation, TERT promoter
#' mutation, chromosome 1p/19q co-deletion, TCGA gene expression subtypes (
#' Classical, Mesenchymal, and Proneural) with their probability, and MGMT
#' gene expression level.
#'
#' UniD package providing two categories of functions:
#'
#' (1) Data processing and quality control:
#'
#' \code{UniD.intctl}, \code{UniD.dataqc}, \code{UniD.probefilter}
#'
#' (2) Genomic information prediction:
#'
#' \code{UniD.pred}
#'
#' @section Functions:
#' \code{UniD.load}: load the raw data
#'
#' \code{UniD.intctl}: check the internal control probes which can reflect
#' different aspects of experiments quality.
#'
#' \code{UniD.dataqc}: check data quality in three aspects: detection P-value,
#' beadcount per probes, and missing values.
#'
#' \code{UniD.probefilter}: filter out probes belong to different categories
#' which may have quality issues, and probes with high proportion of missing
#' values.
#'
#' \code{UniD.BMIQ}: normalize type I and type II probes based on BMIQ method.
#'
#' \code{UniD.pred}: predict othergenomic information using Illumina DNA methylation
#' microarray data, currently support 450k and EPIC platform
#'
#' @docType package
#' @name UniD
#' @seealso The BMIQ normalization method is adapted from \code{\link[wateRmelon]{BMIQ}}.
#' @inheritParams UniD.load
#' @inheritParams UniD.intctl
#' @return A data frame with all predicted results
#' @examples
#' \dontrun{
#' pred.result <- UniD(dataDir = "~/Desktop/input/", outDir = "~/Desktop/output/",
#' arrayType = "450k", sampleType = "other", write = T)
#' }
#' @export
UniD <- function(dataDir,
outDir,
arrayType,
sampleType,
write)
{
loading <- UniD.load(dataDir = dataDir, outDir = outDir, arrayType = arrayType,
write = write)
samQC <- UniD.intctl(loading = loading, dataDir = dataDir,outDir = outDir,
arrayType = arrayType, sampleType = sampleType,
write = write)
Beta.raw <- UniD.dataqc(loading = loading, outDir = outDir,
arrayType = arrayType, write = write)
Beta.BMIQ <- UniD.BMIQ(Beta.raw, outDir = outDir,
arrayType = arrayType, write = write)
Beta.clean <- UniD.probefilter(Beta.raw, outDir = outDir,
arrayType = arrayType, write = T)
Pred <- UniD.pred(inputdata = Beta.raw, inputvalueType = "B",
inputdata.BMIQ = Beta.BMIQ, outDir = outDir, write = write)
return(Pred)
}
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