calculateSummarizedCorrelationVector: Calculates correlation values between replicates for each...

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

Calculates correlation values between replicates for each condition matrix. Finally returns a matrix containing the results for all dataset

Description

Calculates correlation values between replicates for each condition matrix. Finally returns a matrix containing the results for all dataset

Usage

calculateSummarizedCorrelationVector(
  methodlist,
  allReplicateGroups,
  sampleGroupsWithReplicates,
  corrType
)

Arguments

methodlist	List containing normalized matrices for each normalization method
allReplicateGroups	Vector with condition groups matching the columns found in the normalization methods
sampleGroupsWithReplicates	Unique vector with condition groups present in two or more samples
corrType	Type of correlation (Pearson or Spearman)

Value

avgCorSum Matrix with column corresponding to normalization approaches and rows corresponding to replicate group

ComputationalProteomics/NormalyzerDE documentation built on Oct. 18, 2024, 9:57 p.m.