Aug 072014
 

CAPIU 0.2

:: DESCRIPTION

CAPIU is a novel approach for clustering samples (treatments, patients, condition etc) by using annotational information about the genes. The algorithm searches all pre-defined gene classes for classes that exhibit a strong clustering of the samples. These are then used to split the samples in two groups until no significant splits can be found. The result is visualized as a tree with gene classes as nodes and groups of samples as leaves.

::DEVELOPER

Max Planck Institute for Molecular Plant Physiology

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Windows / Linux / MacOsX
  • R package
  • Biobase, MASS, mclust, e1071, cluster, hu6800, ellipse, GO.

:: DOWNLOAD

 CAPIU

:: MORE INFORMATION

Citation

Biom J. 2007 Apr;49(2):214-29.
Integrating functional knowledge during sample clustering for microarray data using unsupervised decision trees.
Redestig H, Repsilber D, Sohler F, Selbig J.

218 views

Sorry, the comment form is closed at this time.