90 search results - page 8 / 18 » Computational method for reducing variance with Affymetrix m... |
GECCO
2003
Springer
14 years 1 months ago
2003
Springer
Abstract. Our ability to simultaneously measure the expression levels of thousands of genes in biological samples is providing important new opportunities for improving the diagnos...
BMCBI
2005
13 years 8 months ago
2005
Background: Stochastic dependence between gene expression levels in microarray data is of critical importance for the methods of statistical inference that resort to pooling test-...
BMCBI
2006
13 years 8 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. ...
IEEEMM
2007
13 years 8 months ago
2007
— Microarray technology offers a high throughput means to study expression networks and gene regulatory networks in cells. The intrinsic nature of high dimensionality and small s...
BMCBI
2010
13 years 8 months ago
2010
Background: In high-dimensional data analysis such as differential gene expression analysis, people often use filtering methods like fold-change or variance filters in an attempt ...