We provide a method, LEB (Localize-and-Extract Biclusters) which reduces the search space into local neighborhoods within the matrix by first localizing ...
We provide a method, LEB (Localize-and-Extract Biclusters) which reduces the search space into local neighborhoods within the matrix by first localizing ...
Biclustering has become a popular technique for the study of gene expression data, especially for discovering functionally related gene sets under different ...
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a number of sub-matrices equal to the number of elements of the matrix is avoided. ... mean starts increasing. For this reason, we have chosen the value ...
Missing: Expanding Localized Substructures.
The goal of this procedure is to discover local expression patterns representing subsets of genes to be coregulated and coexpressed only under certain ...
Missing: Localized Substructures.
Jul 15, 2024 · Biclustering discovers local relationships hidden as sub-matrices in a data ... Ensemble biclustering gene expression data based on the spectral ...
Missing: Localized Substructures.
Biclustering expression data based on expanding localized substructures. C ... 2009. An integrated model for visualizing biclusters from gene expression data ...
Mar 22, 2016 · Biclustering algorithms, which aim to provide an effective and efficient way to analyze gene expression data by finding a group of genes ...
Missing: Expanding Localized
This introduces "biclustering", or simultaneous clustering of both genes and conditions, to knowledge discovery from expression data. This approach overcomes ...
Missing: Expanding | Show results with:Expanding
Aug 23, 2010 · Biclustering expression data based on expanding localized substructures ... Biclustering of microarray data with mospo based on crowding distance.