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: A vector with a length of the number of views. Per-comparrison wise error rate to control the number of falsely selected coefficients in the right singular vector of each view. 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." Submitted (2020).