373 search results - page 13 / 75 » Algorithmic and Complexity Issues of Three Clustering Method... |
TCSB
2008
13 years 6 months ago
2008
Clustering gene expression data given in terms of time-series is a challenging problem that imposes its own particular constraints, namely exchanging two or more time points is not...
BMCBI
2010
13 years 6 months ago
2010
Background: Meta-analysis methods exist for combining multiple microarray datasets. However, there are a wide range of issues associated with microarray meta-analysis and a limite...
MSV
2004
13 years 8 months ago
2004
Clustering is a prominent method in the data mining field. It is a discovery process that groups data such that intra cluster similarity is maximized and the inter cluster similar...
ACAL
2007
Springer
14 years 27 days ago
2007
Springer
Abstract. This paper illustrates how the Quadratic Assignment Problem (QAP) is used as a mathematical model that helps to produce a visualization of microarray data, based on the r...
IDEAL
2007
Springer
14 years 26 days ago
2007
Springer
Microarray technology produces large amounts of information to be manipulated by analysis methods, such as biclustering algorithms, to extract new knowledge. All-purpose multivaria...