270 search results - page 4 / 54 » Selection of more than one gene at a time for cancer predict... |
BMCBI
2006
13 years 5 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
2010
13 years 5 months ago
2010
Background: Much of the public access cancer microarray data is asymmetric, belonging to datasets containing no samples from normal tissue. Asymmetric data cannot be used in stand...
BMCBI
2005
13 years 5 months ago
2005
Background: Routine application of gene expression microarray technology is rapidly producing large amounts of data that necessitate new approaches of analysis. The analysis of a ...
BMCBI
2006
13 years 5 months ago
2006
Background: Cluster analysis is an integral part of high dimensional data analysis. In the context of large scale gene expression data, a filtered set of genes are grouped togethe...
BMCBI
2010
2010
Identifying common prognostic factors in genomic cancer studies: A novel index for censored outcomes
13 years 5 months ago
Background: With the growing number of public repositories for high-throughput genomic data, it is of great interest to combine the results produced by independent research groups...