#' @title Get standaridization coefficients of Genotype data
#'
#'
#' @param genoData \code{character} Name of the \code{GenotypeData} object on the server
#' @param datasources a list of \code{DSConnection-class} objects obtained after login
#'
#' @return \code{list} with means and SD of HWE
standardizeGenoData <- function(genoData, datasources){
# TODO this is an internal function! no need to search datasources etc.
# Get alternate allele frequencies for each SNP
allel_freqs <- ds.alleleFrequency(genoData, type = "combined", datasources = datasources)
# Calculate mean using alternate allele freq. Mean = 2 * MAF
means <- allel_freqs$pooled_MAF * 2
# Calculate standard error under HW equilibrium. SD_hw = sqrt(2 * MAF * (1 - MAF))
sd_hw <- sqrt(means * (1 - allel_freqs$pooled_MAF))
# Return data frame with rs ID means and sd_hw to be applied on other functions when reading
# the actual geno data. The formula to standardize is (Xij - means) / sd_hw. Where Xij
# corresponds to the geno data in 0, 1, 2 coding.
return(tibble(rs = allel_freqs$rs, means = means, sd_hw = sd_hw))
}
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.