35 search results - page 6 / 7 » Genetic weighted k-means algorithm for clustering large-scal... |
ISBRA
2007
Springer
14 years 1 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...
BMCBI
2006
13 years 7 months ago
2006
Background: The learning of global genetic regulatory networks from expression data is a severely under-constrained problem that is aided by reducing the dimensionality of the sea...
BMCBI
2010
13 years 7 months ago
2010
Background: Chow and Liu showed that the maximum likelihood tree for multivariate discrete distributions may be found using a maximum weight spanning tree algorithm, for example K...
SDM
2009
SIAM
14 years 4 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...
IPPS
2002
IEEE
14 years 12 days ago
2002
IEEE
Expressed sequence tags, abbreviated ESTs, are DNA fragments experimentally derived from expressed portions of genes. Clustering of ESTs is essential for gene recognition and unde...