compute.pairw.cor.z: Function to compute the Z transformation of the pairwise...

In bhklab/genefu: Computation of Gene Expression-Based Signatures in Breast Cancer

Function to compute the Z transformation of the pairwise correlations for a list of datasets

Description

This function computes the Z transformation of the meta-estimate of pairwise correlation coefficients for a set of genes from a list of gene expression datasets.

Usage

compute.pairw.cor.z(datas, method = c("pearson"))

Arguments

datas	List of datasets. Each dataset is a matrix of gene expressions with samples in rows and probes in columns, dimnames being properly defined. All the datasets must have the same probes.
method	Estimator for correlation coefficient, can be either pearson or spearman.

Value

A list with items: -z Z transformation of the meta-estimate of correlation coefficients. -se Standard error of the Z transformation of the meta-estimate of correlation coefficients. -nn Number of samples used to compute the meta-estimate of correlation coefficients.

See Also

map.datasets, compute.pairw.cor.meta, compute.proto.cor.meta

bhklab/genefu documentation built on June 2, 2022, 2:56 p.m.