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» Memetic Algorithms for Feature Selection on Microarray Data
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101
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NIPS
2003
14 years 11 months ago
Fast Feature Selection from Microarray Expression Data via Multiplicative Large Margin Algorithms
New feature selection algorithms for linear threshold functions are described which combine backward elimination with an adaptive regularization method. This makes them particular...
Claudio Gentile
93
Voted
TCBB
2010
108views more  TCBB 2010»
14 years 5 months ago
Identification of Full and Partial Class Relevant Genes
Multiclass cancer classification on microarray data has provided the feasibility of cancer diagnosis across all of the common malignancies in parallel. Using multiclass cancer feat...
Zexuan Zhu, Yew-Soon Ong, Jacek M. Zurada
94
Voted
IJON
2006
99views more  IJON 2006»
14 years 10 months ago
Feature selection in independent component subspace for microarray data classification
A novel method for microarray data classification is proposed in this letter. In this scheme, the sequential floating forward selection (SFFS) technique is used to select the inde...
Chun-Hou Zheng, De-Shuang Huang, Li Shang
PRL
2006
130views more  PRL 2006»
14 years 10 months ago
Efficient huge-scale feature selection with speciated genetic algorithm
With increasing interest in bioinformatics, sophisticated tools are required to efficiently analyze gene information. The classification of gene expression profiles is crucial in ...
Jin-Hyuk Hong, Sung-Bae Cho
EVOW
2003
Springer
15 years 3 months ago
Applying Memetic Algorithms to the Analysis of Microarray Data
Carlos Cotta, Alexandre Mendes, Vinícius Ga...