# Copyright ---------------------------------------------------------------
# 2014 The Scripps Research Institute Author: Jonathan Ross Hart
# Author ------------------------------------------------------------------
# Jonathan Ross Hart(jonathan@jonathanrosshart.com)
# Description -------------------------------------------------------------
# signal to noise scoring function
# Input -------------------------------------------------------------------
# Gene expression data and genesets
# Methods -------------------------------------------------
# Outputs -------------------------------------------------
# Library imports ---------------------------------------------------------
# Determine signal to noise scoring for each line in the data table. dataA is
# the baseline(negative if higher) and dataB is the test(positive if higher)
#' Title
#'
#' @param a
#' @param b
#'
#' @return
#' @export
#'
#' @examples
s2n.score <- function(a, b) {
mu1 <- apply(a, 1, mean)
mu2 <- apply(b, 1, mean)
sigma1 <- apply(a, 1, sd)
sigma2 <- apply(b, 1, sd)
(mu2 - mu1) / (sigma1 + sigma2)
}
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