388 search results - page 10 / 78 » A cluster validity framework for genome expression data |
103
click to vote
EVOW
2005
Springer
15 years 5 months ago
2005
Springer
Abstract. Clustering still represents the most commonly used technique to analyze gene expression data—be it classical clustering approaches that aim at finding biologically rel...
BMCBI
2005
14 years 11 months ago
2005
Background: Several supervised and unsupervised learning tools are available to classify functional genomics data. However, relatively less attention has been given to exploratory...
BMCBI
2006
14 years 12 months ago
2006
Background: Quantitative simultaneous monitoring of the expression levels of thousands of genes under various experimental conditions is now possible using microarray experiments....
106
click to vote
CSB
2005
IEEE
15 years 5 months ago
2005
IEEE
DNA microarray experiments generate a substantial amount of information about global gene expression. Gene expression profiles can be represented as points in multi-dimensional sp...
117
click to vote
GFKL
2005
Springer
15 years 5 months ago
2005
Springer
Mixture models represent results of gene expression cluster analysis in a more natural way than ’hard’ partitions. This is also true for the representation of gene labels, such...