99 search results - page 11 / 20 » Similarity and cluster analysis algorithms for Microarrays u... |
BMCBI
2005
13 years 7 months ago
2005
Background: The sequencing of the human genome has enabled us to access a comprehensive list of genes (both experimental and predicted) for further analysis. While a majority of t...
CORR
2010
Springer
13 years 2 months ago
2010
Springer
The diameter k-clustering problem is the problem of partitioning a finite subset of Rd into k subsets called clusters such that the maximum diameter of the clusters is minimized. ...
GECCO
2007
Springer
14 years 1 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 ...
ICDM
2008
IEEE
14 years 2 months ago
2008
IEEE
Association analysis arises in many important applications such as bioinformatics and business intelligence. Given a large collection of measurements over a set of samples, associ...
BMCBI
2007
13 years 7 months ago
2007
Background: The definition of a distance measure plays a key role in the evaluation of different clustering solutions of gene expression profiles. In this empirical study we compa...