782 search results - page 4 / 157 » Combined Gene Selection Methods for Microarray Data Analysis |
KDD
2004
ACM
14 years 7 months ago
2004
ACM
In gene expression microarray data analysis, selecting a small number of discriminative genes from thousands of genes is an important problem for accurate classification of diseas...
IV
2008
IEEE
14 years 29 days ago
2008
IEEE
Advances in the field of microarray technology have attracted a lot of attention in the last years. More and more biological experiments are conducted based on microarrays. The c...
BMCBI
2007
13 years 6 months ago
2007
Background: Classification studies using gene expression datasets are usually based on small numbers of samples and tens of thousands of genes. The selection of those genes that a...
ACIIDS
2010
IEEE
13 years 4 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
2008
13 years 6 months ago
2008
Background: High-throughput microarrays are widely used to study gene expression across tissues and developmental stages. Analysis of gene expression data is challenging in these ...