775 search results - page 52 / 155 » Memetic Algorithms for Feature Selection on Microarray Data |
CSB
2004
IEEE
13 years 11 months ago
2004
IEEE
A great deal of recent research has focused on the challenging task of selecting differentially expressed genes from microarray data (`gene selection'). Numerous gene selecti...
ISMB
1993
13 years 9 months ago
1993
Weintroduce a parallel approach, "DT-SELECT," for selecting features used by inductive learning algorithms to predict protein secondary structure. DT-SELECTis able to ra...
ICDM
2008
IEEE
14 years 2 months ago
2008
IEEE
When the number of labeled examples is limited, traditional supervised feature selection techniques often fail due to sample selection bias or unrepresentative sample problem. To ...
ICDM
2010
IEEE
13 years 5 months ago
2010
IEEE
Nowadays, the classification of graph data has become an important and active research topic in the last decade, which has a wide variety of real world applications, e.g. drug acti...
BMCBI
2008
13 years 7 months ago
2008
Background: High-throughput methods that allow for measuring the expression of thousands of genes or proteins simultaneously have opened new avenues for studying biochemical proce...