117 search results - page 10 / 24 » A Study of Crossover Operators for Gene Selection of Microar... |
BMCBI
2002
13 years 7 months ago
2002
Background: A method to evaluate and analyze the massive data generated by series of microarray experiments is of utmost importance to reveal the hidden patterns of gene expressio...
BIB
2007
13 years 7 months ago
2007
Gene expression signatures from microarray experiments promise to provide important prognostic tools for predicting disease outcome or response to treatment. A number of microarra...
AUSDM
2006
Springer
13 years 11 months ago
2006
Springer
In response to the rapid development of DNA Microarray technology, many classification methods have been used for Microarray classification. SVMs, decision trees, Bagging, Boostin...
BMCBI
2007
13 years 7 months ago
2007
Background: When analyzing microarray gene expression data, missing values are often encountered. Most multivariate statistical methods proposed for microarray data analysis canno...
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 ...