63 search results - page 4 / 13 » Machine Learning in DNA Microarray Analysis for Cancer Class... |
BMCBI
2011
12 years 11 months ago
2011
Background: Patterns of genome-wide methylation vary between tissue types. For example, cancer tissue shows markedly different patterns from those of normal tissue. In this paper ...
COMPLIFE
2006
Springer
13 years 11 months ago
2006
Springer
Abstract. This paper presents a method that uses gene ontologies, together with the paradigm of relational subgroup discovery, to help find description of groups of genes different...
AUSDM
2006
Springer
13 years 11 months ago
2006
Springer
In response to the rapid development of DNA Microarray technology, many classification methods have been used for Microarray classification. SVMs, decision trees, Bagging, Boostin...
CSB
2005
IEEE
14 years 1 months ago
2005
IEEE
One of the major challenges in cancer diagnosis from microarray data is to develop robust classification models which are independent of the analysis techniques used and can combi...
BMCBI
2005
13 years 7 months ago
2005
Background: Comparison of data produced on different microarray platforms often shows surprising discordance. It is not clear whether this discrepancy is caused by noisy data or b...