541 search results - page 35 / 109 » Incorporating Gene Ontology in Clustering Gene Expression Da... |
BMCBI
2011
12 years 11 months ago
2011
Background: The search for cluster structure in microarray datasets is a base problem for the so-called “-omic sciences”. A difficult problem in clustering is how to handle da...
BMCBI
2008
13 years 8 months ago
2008
Background: Missing values frequently pose problems in gene expression microarray experiments as they can hinder downstream analysis of the datasets. While several missing value i...
JBI
2006
13 years 8 months ago
2006
To microarray expression data analysis, it is well accepted that biological knowledge-guided clustering techniques show more advantages than pure mathematical techniques. In this ...
BMCBI
2007
13 years 8 months ago
2007
Background: Biochemical investigations over the last decades have elucidated an increasingly complete image of the cellular metabolism. To derive a systems view for the regulation...
IDEAL
2004
Springer
14 years 1 months ago
2004
Springer
Microarray datasets are often too large to visualise due to the high dimensionality. The self-organising map has been found useful to analyse massive complex datasets. It can be us...