372 search results - page 2 / 75 » Biclustering of Expression Data Using Simulated Annealing |
BMCBI
2008
13 years 5 months ago
2008
Background: The analysis of large-scale data sets via clustering techniques is utilized in a number of applications. Biclustering in particular has emerged as an important problem...
ISBRA
2007
Springer
13 years 11 months ago
2007
Springer
Clustering has been one of the most popular approaches used in gene expression data analysis. A clustering method is typically used to partition genes according to their similarity...
GECCO
2007
Springer
13 years 11 months ago
2007
Springer
The main motivation for using a multi–objective evolutionary algorithm for finding biclusters in gene expression data is motivated by the fact that when looking for biclusters ...
CSB
2005
IEEE
13 years 11 months ago
2005
IEEE
A good number of biclustering algorithms have been proposed for grouping gene expression data. Many of them have adopted matrix norms to define the similarity score of a bicluste...
SDM
2009
SIAM
14 years 2 months ago
2009
SIAM
Biclustering refers to simultaneous clustering of objects and their features. Use of biclustering is gaining momentum in areas such as text mining, gene expression analysis and co...