NOTE 2004/19/2004: CompClustTk (GUI) & an updated compClust, will be released in the near future (Early May).


CompClust is a python package written using the pyMLX and IPlot APIs. It provides software tools to explore and quantify relationships between clustering results. Its development has been largely built around needs of microarray data analysis but could be easily used in other domains.

Briefly pyMLX provides an provides for efficient and convenient execution of many clustering algorithms using a extendable library of algorithms. It also provides many-to-many linkages between data features and annotations (such as cluster labels, gene names, gene ontology information, etc.) This linkages are are persistant through data manipulations. IPlot provides an abstraction of the plotting process in which any arbitrary feature or derived feature of the data can be projected onto any feature of the plot, including the X,Y coordinates of points, marker symbol, marker size, maker/line color, etc. These plots are intrinsically linked to the dataset, the View and the Labeling classes found within pyMLX.


Windows Installation pagackages

Run the following installation packages in the order provided.

Download Source


The Python language's website. Plenty of good resources regarding python
IPython provides an enhanced interactive shell with tab-completion, object introspection, online help, history and many other nice features. I highly recommend using IPython, here are compClust specfic IPython configuration files: Numeric/Scientfic python and compClust. Save these files into your IPYTHONDIR and then start ipython with the compClust profile by using the -p option: ipython -p compClust