annot2Color

a data.frame containing the sample
  annotations (of dimension 'samples x annotations').

annot


  Given a data.frame consisting of sample annotations, this
  function returns a vector which gives a colour per
  annotation level.


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

annot2Color function

Given a data.frame consisting of sample annotations, this
  function returns a vector which gives a colour per
  annotation level.

annot2Color: Association of a colour with each annotation level

Description

Usage

Arguments

Value

Details