<p>The biclustering method biDCG was applied on two synthetic expression matrices designed to represent 10 biclusters, either constant (left panel, A), or additive (right panel, B), both with overlap of 8 between the biclusters (see text for details). The initial biclusters (shown as white boxes) defined by simple applications of DCG on the whole matrix do not match correctly with the biclusters that were implanted; for example, DCG identified 11 biclusters in the constant cluster case (panel A). Iterative refinements of the biclusters however lead to the correct identification of all 10 reference biclusters, as shown as green sub matrices.</p
Biclustering has emerged as a powerful algorithmic tool for analyzing measurements of gene expressio...
Summary: BiVisu is an open-source software tool for detecting and visualizing biclusters embedded in...
A generalized motif bicluster algorithm In many application domains different clusters in data may b...
<p>Panels A) and C) show the re-ordered heat maps computed with biDCG based on synthetic expression ...
<p>The biclustering techniques biDCG and Bimax <a href="http://www.plosone.org/article/info:doi/10.1...
<p>The biclustering techniques biDCG and Bimax <a href="http://www.plosone.org/article/info:doi/10.1...
Biclustering is a technique used to simultaneously cluster both the rows and columns of a data matri...
Biclustering has emerged as an important approach to the analysis of large-scale datasets. A biclust...
<p>In each panel we show a heat-map of an <i>M</i> × <i>N</i> matrix ‘<i>D</i>’, which contains a la...
Biclustering has emerged as an important approach to the analysis of large-scale datasets. A biclust...
<p>Both panels illustrate the same submatrix (i.e., bicluster) drawn from the full case-matrix shown...
Description Biclusters are submatrices in the data matrix which satisfy certain conditions of homoge...
Bicluster analysis is an unsupervised learning method to detect homogeneous or uniquely characterize...
<div><p>Biclustering is the simultaneous clustering of two related dimensions, for example, of indiv...
Biclustering analysis is a useful methodology to discover the local coherent patterns hidden in a da...
Biclustering has emerged as a powerful algorithmic tool for analyzing measurements of gene expressio...
Summary: BiVisu is an open-source software tool for detecting and visualizing biclusters embedded in...
A generalized motif bicluster algorithm In many application domains different clusters in data may b...
<p>Panels A) and C) show the re-ordered heat maps computed with biDCG based on synthetic expression ...
<p>The biclustering techniques biDCG and Bimax <a href="http://www.plosone.org/article/info:doi/10.1...
<p>The biclustering techniques biDCG and Bimax <a href="http://www.plosone.org/article/info:doi/10.1...
Biclustering is a technique used to simultaneously cluster both the rows and columns of a data matri...
Biclustering has emerged as an important approach to the analysis of large-scale datasets. A biclust...
<p>In each panel we show a heat-map of an <i>M</i> × <i>N</i> matrix ‘<i>D</i>’, which contains a la...
Biclustering has emerged as an important approach to the analysis of large-scale datasets. A biclust...
<p>Both panels illustrate the same submatrix (i.e., bicluster) drawn from the full case-matrix shown...
Description Biclusters are submatrices in the data matrix which satisfy certain conditions of homoge...
Bicluster analysis is an unsupervised learning method to detect homogeneous or uniquely characterize...
<div><p>Biclustering is the simultaneous clustering of two related dimensions, for example, of indiv...
Biclustering analysis is a useful methodology to discover the local coherent patterns hidden in a da...
Biclustering has emerged as a powerful algorithmic tool for analyzing measurements of gene expressio...
Summary: BiVisu is an open-source software tool for detecting and visualizing biclusters embedded in...
A generalized motif bicluster algorithm In many application domains different clusters in data may b...