782 search results - page 53 / 157 » Combined Gene Selection Methods for Microarray Data Analysis |
118
Voted
BMCBI
2010
15 years 2 months ago
2010
Background: A simple classification rule with few genes and parameters is desirable when applying a classification rule to new data. One popular simple classification rule, diagon...
147
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CIKM
2010
Springer
15 years 1 days ago
2010
Springer
In the standard formalization of supervised learning problems, a datum is represented as a vector of features without prior knowledge about relationships among features. However, ...
101
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BIBE
2007
IEEE
15 years 4 months ago
2007
IEEE
Abstract—Gene expression data usually contains a large number of genes, but a small number of samples. Feature selection for gene expression data aims at finding a set of genes ...
116
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ISBRA
2007
Springer
15 years 8 months ago
2007
Springer
Characterized by simultaneous measurement of the effects of experimental factors and their interactions, the economic and efficient factorial design is well accepted in microarray ...
101
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CRV
2006
IEEE
15 years 8 months ago
2006
IEEE
A set of microarray images were acquired by a sequence of biological experiments which were scanned via a high resolution scanner. For each spot corresponding to a gene, the ratio...