10 search results - page 1 / 2 » Recursive Cluster Elimination (RCE) for classification and f... |
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...
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 ...
APBC
2004
13 years 6 months ago
2004
This paper introduces a novel method for minimum number of gene (feature) selection for a classification problem based on gene expression data with an objective function to maximi...
BMCBI
2006
13 years 4 months ago
2006
Background: Recursive Feature Elimination is a common and well-studied method for reducing the number of attributes used for further analysis or development of prediction models. ...
BMCBI
2005
13 years 4 months ago
2005
Background: Accurate diagnosis of cancer subtypes remains a challenging problem. Building classifiers based on gene expression data is a promising approach; yet the selection of n...