correl2Comp

The first component, a vector of projections or contributions indexed by labels

comp1

The second component, a vector of projections or contributions indexed by labels

comp2

Type of correlation to be computed, either <code>'pearson'</code> or <code>'spearman'</code>

type.corr

if <code>TRUE</code>, plot <code>comp1</code> vs <code>comp2</code>

plot

either NULL or 0 (default) if all genes are used to compute the correlation between the components, or a threshold to compute the correlation on the genes that have at least a scaled projection higher than cutoff_zval. 

cutoff_zval

if TRUE the correlation test p-value is returned instead of the correlation value

test

if TRUE comp1 and comp2 are considered as being already treated (i.e scaled and restricted to common elements) 

alreadyTreat

This function computes the correlation between two components.

The goal of MineICA is to perform Independent Component
Analysis (ICA) on multiple transcriptome datasets, integrating
additional data (e.g molecular, clinical and pathological).
This Integrative ICA helps the biological interpretation of the
components by studying their association with variables (e.g
sample annotations) and gene sets, and enables the comparison
of components from different datasets using correlation-based
graph.

Anne Biton

MineICA

Analysis of an ICA decomposition obtained on genomics data

correl2Comp function

either NULL or 0 (default) if all genes are used to compute the correlation between the components, or a threshold to compute the correlation on the genes that have at least a scaled projection higher than cutoff_zval.

if TRUE comp1 and comp2 are considered as being already treated (i.e scaled and restricted to common elements)

correl2Comp: correl2Comp

Description

Usage

Arguments

Value

Details