1208 search results - page 83 / 242 » Gene set analysis for longitudinal gene expression data |
IV
2007
IEEE
14 years 2 months ago
2007
IEEE
High-dimensional data is, by its nature, difficult to visualise. Many current techniques involve reducing the dimensionality of the data, which results in a loss of information. ...
AUSAI
2005
Springer
14 years 1 months ago
2005
Springer
Abstract. In this paper we propose a clustering algorithm called sCluster for analysis of gene expression data based on pattern-similarity. The algorithm captures the tight cluster...
GFKL
2005
Springer
14 years 1 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...
IJCNN
2008
IEEE
14 years 2 months ago
2008
IEEE
—Normalization before clustering is often needed for proximity indices, such as Euclidian distance, which are sensitive to differences in the magnitude or scales of the attribute...
BMCBI
2005
13 years 7 months ago
2005
Background: With the explosion of microarray studies, an enormous amount of data is being produced. Systematic integration of gene expression data from different sources increases...