dataCarbayo


  Contains bladder cancer expression data based on on
  HG-U133A Affymetrix microarrays. The data include 93
  samples, were normalized with MAS5 by the authors of the
  paper using Quantile normalization and
  log2-transformation. They are restricted to the 10000
  most variable probe sets.


datasets

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

dataCarbayo function

Contains bladder cancer expression data based on on
  HG-U133A Affymetrix microarrays. The data include 93
  samples, were normalized with MAS5 by the authors of the
  paper using Quantile normalization and
  log2-transformation. They are restricted to the 10000
  most variable probe sets.

dataCarbayo: Carbayo expression data

Description

Arguments

References