Paper

Improving the Computational Efficiency of Recursive Cluster Elimination for Gene Selection

2011

Created by Alysson Bolognesi Prado at 2019-03-27 14:29:39.0.

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Bibliographic Sets

1

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Authors

6

Deng-Feng Huang

Venue

1

IEEE/ACM Transactions on Computational Biology and Bioinformatics

References

17

Gene Selection for Cancer Classification Using Support Vector Machines

Improving the Performance of SVM-RFE to Select Genes in Microarray Data

Recursive Cluster Elimination (RCE) for Classification and Feature Selection from Gene Expression Data

Use of the Zero-Norm with Linear Models and Kernel Methods

Efficient Feature Selection via Analysis of Relevance and Redundancy

Efficient Huge-Scale Feature Selection with Speciated Genetic Algorithm