88 search results - page 7 / 18 » Evolutionary selection of minimum number of features for cla... |
ACIIDS
2010
IEEE
13 years 5 months ago
2010
IEEE
Microarray data usually contains a high level of noisy gene data, the noisy gene data include incorrect, noise and irrelevant genes. Before Microarray data classification takes pla...
BMCBI
2006
13 years 7 months ago
2006
Background: Numerous feature selection methods have been applied to the identification of differentially expressed genes in microarray data. These include simple fold change, clas...
EUROGP
2004
Springer
14 years 25 days ago
2004
Springer
Lymphoma cancer classification with DNA microarray data is one of important problems in bioinformatics. Many machine learning techniques have been applied to the problem and produc...
BIBE
2007
IEEE
13 years 11 months ago
2007
IEEE
The recent development of microarray gene expression techniques have made it possible to offer phenotype classification of many diseases. However, in gene expression data analysis...
BMCBI
2010
13 years 7 months ago
2010
Background: Feature gene extraction is a fundamental issue in microarray-based biomarker discovery. It is normally treated as an optimization problem of finding the best predictiv...