selectFeatures_IQR

Measured data of dimension features x samples
  (e.g, gene expression data)

data


  This function selects the features having the largest
  Inter Quartile Range (IQR).


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

selectFeatures_IQR function

This function selects the features having the largest
  Inter Quartile Range (IQR).

selectFeatures_IQR: Selection of features based on their IQR

Description

Usage

Arguments

Value

Examples