59 search results - page 2 / 12 » Applying RBF Neural Networks to Cancer Classification Based ... |
ICANN
2009
Springer
13 years 3 months ago
2009
Springer
Different algorithms have been proposed in the literature to cluster gene expression data, however there is no single algorithm that can be considered the best one independently on...
BMEI
2008
IEEE
13 years 7 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
2007
13 years 5 months ago
2007
Background: The four heterogeneous childhood cancers, neuroblastoma, non-Hodgkin lymphoma, rhabdomyosarcoma, and Ewing sarcoma present a similar histology of small round blue cell...
SAC
2008
ACM
13 years 4 months ago
2008
ACM
Achieving high classification accuracy is a major challenge in the diagnosis of cancer types based on gene expression profiles. These profiles are notoriously noisy in that a larg...
BMCBI
2005
13 years 5 months ago
2005
Background: Development of robust and efficient methods for analyzing and interpreting high dimension gene expression profiles continues to be a focus in computational biology. Th...