16 search results - page 2 / 4 » Eliminating Class Noise in Large Datasets |
BMCBI
2006
13 years 4 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...
ACSW
2004
13 years 6 months ago
2004
Nowadays organizations all over the world are dependent on mining gigantic datasets. These datasets typically contain delicate individual information, which inevitably gets expose...
BMCBI
2006
13 years 4 months ago
2006
Background: In class prediction problems using microarray data, gene selection is essential to improve the prediction accuracy and to identify potential marker genes for a disease...
ECCV
2002
Springer
14 years 6 months ago
2002
Springer
Nonlinear partial differential equations (PDE) are now widely used to regularize images. They allow to eliminate noise and artifacts while preserving large global features, such as...
ACIIDS
2010
IEEE
13 years 2 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...