1240 search results - page 6 / 248 » Applying Memetic Algorithms to the Analysis of Microarray Da... |
BMCBI
2004
13 years 7 months ago
2004
Background: The main goal in analyzing microarray data is to determine the genes that are differentially expressed across two types of tissue samples or samples obtained under two...
BMCBI
2005
13 years 7 months ago
2005
Background: The most common method of identifying groups of functionally related genes in microarray data is to apply a clustering algorithm. However, it is impossible to determin...
BMCBI
2005
13 years 7 months ago
2005
Background: Genome wide microarray studies have the potential to unveil novel disease entities. Clinically homogeneous groups of patients can have diverse gene expression profiles...
BIBE
2007
IEEE
14 years 1 months ago
2007
IEEE
—High-throughput data such as microarrays make it possible to investigate the molecular-level mechanism of cancer more efficiently. Computational methods boost the microarray ana...
BIBM
2007
IEEE
14 years 1 months ago
2007
IEEE
Clustering has been shown to be effective in analyzing functional relationships of genes. However, no single clustering method with single distance metric is capable of capturing ...