19 search results - page 1 / 4 » Clustering of High-Dimensional Gene Expression Data with Fea... |
BMEI
2008
IEEE
13 years 6 months ago
2008
IEEE
The importance of gene expression data in cancer diagnosis and treatment by now has been widely recognized by cancer researchers in recent years. However, one of the major challen...
BMCBI
2002
13 years 4 months ago
2002
Background: A method to evaluate and analyze the massive data generated by series of microarray experiments is of utmost importance to reveal the hidden patterns of gene expressio...
ICPR
2004
IEEE
14 years 5 months ago
2004
IEEE
In this article we describe an algorithm for feature selection and gene clustering from high dimensional gene expression data. The method is based on measuring similarity between ...
BMCBI
2010
13 years 4 months ago
2010
Background: Visualization of DNA microarray data in two or three dimensional spaces is an important exploratory analysis step in order to detect quality issues or to generate new ...
BMCBI
2007
13 years 4 months ago
2007
Background: Classification studies using gene expression datasets are usually based on small numbers of samples and tens of thousands of genes. The selection of those genes that a...