Biclustering

Known as: Two-mode clustering, Coclustering, Co-clustering 
Biclustering, block clustering, co-clustering, or two-mode clustering is a data mining technique which allows simultaneous clustering of the rows and… (More)
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Highly Cited
2006
Highly Cited
2006
SUMMARY Besides classical clustering methods such as hierarchical clustering, in recent years biclustering has become a popular… (More)
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Highly Cited
2006
Highly Cited
2006
MOTIVATION In recent years, there have been various efforts to overcome the limitations of standard clustering approaches for the… (More)
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Highly Cited
2006
Highly Cited
2006
Microarray techniques are leading to the development of sophisticated algorithms capable of extracting novel and useful knowledge… (More)
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Highly Cited
2006
Highly Cited
2006
The learning of global genetic regulatory networks from expression data is a severely under-constrained problem that is aided by… (More)
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Highly Cited
2005
Highly Cited
2005
A new algorithm is presented for 4tting the plaid model, a biclustering method developed for clustering gene expression data. The… (More)
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Highly Cited
2005
Highly Cited
2005
In a gene expression data matrix a bicluster is a grouping of a subset of genes and a subset of conditions which show correlating… (More)
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Highly Cited
2004
Highly Cited
2004
In recent years, several biclustering methods have been suggested to identify local patterns in gene expression data. Most of… (More)
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Highly Cited
2003
Highly Cited
2003
Microarrays are one of the latest breakthroughs in experimental molecular biology, which provide a powerful tool by which the… (More)
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Highly Cited
2003
Highly Cited
2003
MOTIVATION Gibbs sampling has become a method of choice for the discovery of noisy patterns, known as motifs, in DNA and protein… (More)
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Highly Cited
2000
Highly Cited
2000
An efficient node-deletion algorithm is introduced to find submatrices in expression data that have low mean squared residue… (More)
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