241 search results - page 35 / 49 » Minimum Redundancy Feature Selection from Microarray Gene Ex... |
104
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BMCBI
2008
14 years 9 months ago
2008
Background: Spatially mapped large scale gene expression databases enable quantitative comparison of data measurements across genes, anatomy, and phenotype. In most ongoing effort...
CSB
2005
IEEE
15 years 3 months ago
2005
IEEE
In the feature selection of cancer classification problems, many existing methods consider genes individually by choosing the top genes which have the most significant signal-to...
106
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JCB
2002
14 years 9 months ago
2002
For small samples, classi er design algorithms typically suffer from over tting. Given a set of features, a classi er must be designed and its error estimated. For small samples, ...
APBC
2003
14 years 11 months ago
2003
The development of microarray technology has supplied a large volume of data to many fields. In particular, it has been applied to prediction and diagnosis of cancer, so that it e...
BMCBI
2010
14 years 7 months ago
2010
Background: One of the most commonly performed tasks when analysing high throughput gene expression data is to use clustering methods to classify the data into groups. There are a...