1240 search results - page 13 / 248 » Applying Memetic Algorithms to the Analysis of Microarray Da... |
BMCBI
2006
13 years 7 months ago
2006
Background: Accurate methods for extraction of meaningful patterns in high dimensional data have become increasingly important with the recent generation of data types containing ...
CSB
2003
IEEE
14 years 20 days ago
2003
IEEE
The problem of clustering continuous valued data has been well studied in literature. Its application to microarray analysis relies on such algorithms as -means, dimensionality re...
TEC
2008
13 years 7 months ago
2008
In general, the analysis of microarray data requires two steps: feature selection and classification. From a variety of feature selection methods and classifiers, it is difficult t...
COCOON
2005
Springer
14 years 27 days ago
2005
Springer
The complexity, approximation and algorithmic issues of several clustering problems are studied. These non-traditional clustering problems arise from recent studies in microarray ...
BMCBI
2006
13 years 7 months ago
2006
Background: Microarray technology has made it possible to simultaneously measure the expression levels of large numbers of genes in a short time. Gene expression data is informati...