As the description of BicBox got cluttered on the Toolboxes session I will transcribe it again here:
BicBox, a biclustering toolbox with the following algorithms: CC, FLOC (possibly wrong implementation), SEBI, Metacluster, BicACO, mom-aiNEt (aka multi-bic-ainet), moeabic, bic-aiNet.
Just load one of the sample datasets, choose an algorithm and click Run.
Choose the parameters, click Ok and wait.
When done, you can chose a bicluster on the drop-down box to get more info about it or export all bicluster with the Matlab Button.
On the Graphs tab you can have a graphical visualization of each bicluster.datasets format:
- first line: 0 if the dataset values are in double format and 1 if it can be represented as char
- second line: 0 if it is a dense dataset and 1 if it is a sparse dataset
- third line: number of rows and number of columns
- fourth line forward: the data
notice: the sparse dataset format is defined as "row column value" at each line.
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