calculateCorrSum: Calculates internal correlations for each condition having at...

In ComputationalProteomics/NormalyzerDE: Evaluation of normalization methods and calculation of differential expression analysis statistics

Calculates internal correlations for each condition having at least two samples and returns a vector with correlation values corresponding to each condition

Description

Calculates internal correlations for each condition having at least two samples and returns a vector with correlation values corresponding to each condition

Usage

calculateCorrSum(
  methodData,
  allReplicateGroups,
  sampleGroupsWithReplicates,
  corrType
)

Arguments

methodData	Expression data matrix
allReplicateGroups	Full condition header corresponding to data tables columns
sampleGroupsWithReplicates	Unique conditions where number of replicates exceeds one
corrType	Type of correlation (Pearson or Spearman)

Value

corSums

ComputationalProteomics/NormalyzerDE documentation built on Sept. 18, 2023, 9:15 p.m.