2229 search results - page 2 / 446 » Comparative analysis of biclustering algorithms |
SDM
2009
SIAM
14 years 1 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...
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...
BMCBI
2008
13 years 4 months ago
2008
Background: Microarray analysis is an important area of bioinformatics. In the last few years, biclustering has become one of the most popular methods for classifying data from mi...
CIBB
2008
13 years 6 months ago
2008
Abstract. Stability is an important property of machine learning algorithms. Stability in clustering may be related to clustering quality or ensemble diversity, and therefore used ...
EVOW
2005
Springer
13 years 10 months ago
2005
Springer
In this work, we address the biclustering of gene expression data with evolutionary computation, which has been proven to have excellent performance on complex problems. In express...