775 search results - page 71 / 155 » Memetic Algorithms for Feature Selection on Microarray Data |
BMCBI
2008
13 years 7 months ago
2008
Background: Bioactivity profiling using high-throughput in vitro assays can reduce the cost and time required for toxicological screening of environmental chemicals and can also r...
BMCBI
2011
12 years 11 months ago
2011
Background: Classification and variable selection play an important role in knowledge discovery in highdimensional data. Although Support Vector Machine (SVM) algorithms are among...
BMCBI
2008
13 years 7 months ago
2008
Background: When predictive survival models are built from high-dimensional data, there are often additional covariates, such as clinical scores, that by all means have to be incl...
BMCBI
2004
13 years 7 months ago
2004
Background: To identify differentially expressed genes, it is standard practice to test a twosample hypothesis for each gene with a proper adjustment for multiple testing. Such te...
CIKM
2008
Springer
13 years 9 months ago
2008
Springer
Finding latent patterns in high dimensional data is an important research problem with numerous applications. The most well known approaches for high dimensional data analysis are...