Perform Bayesian Biclustering on a data matrix.
Anduril wrapper for the Bayesian Biclustering method [1]. For full documentation see [2].
[1] Gu & Liu, 2008 [2] http://www.people.fas.harvard.edu/~junliu/BBC/BBC_manual.pdf
Version | 1.0 |
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Bundle | tools |
Categories | Clustering |
Authors | Aleksi Hietanen (aleksi.hietanen@helsinki.fi) |
Issue tracker | View/Report issues |
Requires | Python |
Source files | component.xml BayesianBiclustering.py |
Usage | Example with default values |
Name | Type | Mandatory | Description |
---|---|---|---|
input_matrix | CSV | Mandatory | Gene/Condition matrix as CSV. |
Name | Type | Description |
---|---|---|
bayesian_biclustering_output | TextFile | Resulting clustering. |
Name | Type | Default | Description |
---|---|---|---|
normalization_alpha_value | int | 90 | Percentage quartile parameter for the IQRN and SQRN normalization methods. |
normalization_method | string | "None" | Normalization to apply before clustering. Valid values are None, CSN, RSN, IQRN and SQRN. Both IQRN and SQRN also use the normalization_alpha_value parameter, which defaults to 90. |
number_of_clusters | int | 10 | Number of clusters. |
Test case | Parameters▼ | IN input_matrix |
OUT bayesian_biclustering_output |
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case1 | properties | input_matrix | bayesian_biclustering_output | |||
number_of_clusters=3 |