nodeAttrs

Number of analyses being considered, i.e
  number of IcaSet objects

nbAn

Number of components by analysis, if of
  length 1 then it is assumed that each analysis has the
  same number of components.

nbComp

Labels of the analysis, if missing it will
  be generated as an1, an2, ...

labAn

List containing the component labels
  indexed by analysis, if missing will be generated as
  comp1, comp2, ...

labComp

File where the description of the node
  attributes will be written

file


  This function builds a data.frame describing for each
  node of the graph its ID and which analysis/data it comes
  from.


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

nodeAttrs function

This function builds a data.frame describing for each
  node of the graph its ID and which analysis/data it comes
  from.

nodeAttrs: Generate node attributes

Description

Usage

Arguments

Value

Details

Examples