MiniMax_calculatePVal: Calculate the MiniMax _p_-Values

In TransBioInfoLab/pathwayMultiomics: Implementinig the MiniMax Statistic for Multi-Omics Pathway Analysis

Description

Given a vector of pathway-level MiniMax statistics and a vector of Beta Distribution parameters, calculate the MiniMax statistics' p-values.

Usage

MiniMax_calculatePVal(MiniMax_num, betaParams_ls)

Arguments

MiniMax_num	A numeric vector of MiniMax statistics
betaParams_ls	A list of the parameters for the Beta Distribution. These values should be returned by the MiniMax_estBetaParams function.

Value

A vector of the MiniMax significance levels (p-values) corresponding to the supplied MiniMax statistics.

Examples

  # Find the best-fitting paramters based on the MiniMax statistic values
  #   under the null distribution
  mmBetaParams_ls <- MiniMax_estBetaParams(
    MiniMaxNull_num = nullMiniMaxResults_df$MiniMax,
    nPlatforms = 3L,
    method = "MoM"
  )

  # Calculate the MiniMax Statistics for each gene set
  mmVals_num <- MiniMax_calculateStatistic(
    res_df = multiOmicsHighSignalResults_df[, -(1:2)]
  )

  # Find the p-values corresponding to these statistics
  MiniMax_calculatePVal(
    MiniMax_num = mmVals_num,
    betaParams_ls = mmBetaParams_ls
 )

TransBioInfoLab/pathwayMultiomics documentation built on Dec. 18, 2021, 5:12 p.m.