compute.pairw.cor.z

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.

datas

Estimator for correlation coefficient, can be either <code>pearson</code> or <code>spearman</code>.

method

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.

correlation

This package contains functions implementing various tasks usually required by gene expression analysis, especially in breast cancer studies: gene mapping between different microarray platforms, identification of molecular subtypes, implementation of published gene signatures, gene selection, and survival analysis.

Benjamin HaibeKains

genefu

Computation of Gene Expression-Based Signatures in Breast Cancer

compute.pairw.cor.z function

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

Z transformation of the meta-estimate of correlation coefficients.

Standard error of the Z transformation of the meta-estimate of correlation coefficients.

Number of samples used to compute the meta-estimate of correlation coefficients.

compute.pairw.cor.z: Function to compute the Z transformation of the pairwise correlations for a list of datasets

Description

Usage

Arguments

Value

See Also