INTRODUCTION
Copyright 2011-2013 by D.Jaeger, J. Barth, A. Niehues, C. Fufezan
pyGCluster is a clustering algorithm focusing on noise injection for subsequent cluster validation. By requesting identical cluster identity, the reproducibility of a large amount of clusters obtained with agglomerative hierarchical clustering is assessed. Furthermore, a multitude of different distance-linkage combinations are evaluated. Finally, highly reproducible clusters are grouped into communities, and graphical representation of the results as node maps and heat maps is implemented.
CITATION
Please cite us when using pyGCluster for your publications.
Jaeger, D., Barth, J., Niehues, A. & Fufezan, C. pyGCluster, a novel hierarchical clustering approach. Bioinformatics 30, 896โ8 (2014).
INSTALLATION
python2.7 setup.py install
(you might need admin privileges to write in the python site-package folder)
SciPy and NumPy are required for running pyGCluster.
PARTICIPATE
If you like to participate, simply checkout the source code from our git hub at http://github.com/pyGCluster, include in your changes and submit them to us.
DOCUMENTATION
For more in depth documentation of the modules and examples, please refer to the documentation folder or http://pygcluster.github.io