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

1 2	calculateSummarizedCorrelationVector(methodlist, allReplicateGroups, sampleGroupsWithReplicates, corrType)

`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)

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

NormalyzerDE documentation built on Nov. 8, 2020, 8:22 p.m.

NormalyzerDE index

Note that we can't provide technical support on individual packages. You should contact the package authors for that.

Description