Metadata-Version: 2.1
Name: iSSVD
Version: 0.1.5
Summary: Robust Integrative Biclustering for Multi-view Data
Home-page: https://github.com/weijie25/iSSVD
Author: Weijie Zhang
Author-email: zhan6385@umn.edu
License: UNKNOWN
Description: ### iSSVD - Intergrative Biclustering for Multi-view data with nested stability selection
        
        
        _Inputs_:
        
         **X**: A list contains multi-view data.
         
         **standr**: If True each view will to be standardized. Default: False.
         
         **pointwise**: If True a fast pointwise control method will be performed for stability selection. Default: True.
         
         **steps**: Number of subsmaples used to perform stability selection. Default: 100.
         
         **size**: Size of the subsamples used to perform stability selection. Default: 0.5.
         
         **vthr**: The proportion to be explained by eigenvalues. Default: 0.7.
         
         **ssthr**: Range of the threshold for stability selection. Default: \[0.6, 0.8\].
         
         **nbicluster**: A user specified number of biclusters to be detected. Default: 10.
         
         **rows_nc**: If True allows for negative correlation of rows over columns. Default: True.
         
         **cols_nc**: If True allows for negative correlation of columns over rows. Default: True.
         
         **col_overlap**: If True allows for columns overlaps among biclusters. Default: False.
         
         **row_overlap**: If True allows for rows overlaps among biclusters. Default: False.
         
         **pceru**: Per-comparrison wise error rate to control the number of falsely selected coefficients in the left singular vectors. Default: 0.1.
         
         **pcerv**: Per-comparrison wise error rate to control the number of falsely selected coefficients in the right singular vector. Default: 0.1.
         
         **merr**: Convergence threshold. Default: 1e-4.
         
         **iters**: Maximal iteration for detecting each bicluster. Default: 100.
         
         
        _Outputs_:
        
         iSSVD returns the stable solutions of left singular vectors for each bicluster, and right singular vectors from each view for each bicluster. 
         
         **N**: Number of biclusters detected.
         
         **Info**: Stability selection results of left and right singular vectors.
         
         **Sample_index**: The indices of bicluster samples.
         
         **Variable_index**: The indices of bicluster variables. 
         
         **Iterations:** The interations run for each bicluster.
         
         Please check https://github.com/weijie25/iSSVD/blob/master/iSSVD/Guide.md for a simple guide.
        
        
        
         *Reference*
        
         Weijie Zhang and Sandra E. Safo. "Robust Integrative Biclustering for Multi-view Data." *Bioinformatics* submitted (2020).
        
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.5
Description-Content-Type: text/markdown
