MTBA: A MATLAB Toolbox for Biclustering Analysis
With MTBA, you can using state-of-the-art algorithms, with minimal effort. The toolbox targets great flexibility in the problem description and comes with advanced features. Further work still in progress: feedback and contributions are welcome!
The current version is 1.2 and was packaged on June 30, 2015. The file is less than Mb.
1. Unzip and copy the whole mtba directory
you just downloaded in a location of your choice on disk, say, in /my/directory/.
Add /my/directory/mtba/ to the Matlab path, either by typing addpath('/my/directory/mtba/') at the command prompt, or through the menu File » Set Path... » Add Folder.... Save the path if you would like Matlab to remember this.
The easiest way to use MTBA is to call the
biclust function, with the two-dimensional data matrix and the method name:
data = load('yeast.dat'); % load matrix
result = biclust(data, 'cc'); % apply Cheng & Church Algorithm with default parameters