Improving the Performance of SVM-RFE to Select Genes in Microarray Data
<p>Abstract</p> <p>Background</p> <p>Recursive Feature Elimination is a common and well-studied method for reducing the number of attributes used for further analysis or development of prediction models. The effectiveness of the RFE algorithm is generally considered exc...
Main Authors: | Ding Yuanyuan, Wilkins Dawn |
---|---|
Format: | Article |
Language: | English |
Published: |
BMC
2006-09-01
|
Series: | BMC Bioinformatics |
Similar Items
-
SVM-RFE With MRMR Filter for Gene Selection
by: Mundra, Piyushkumar A., et al.
Published: (2011) -
Recursive gene selection based on maximum margin criterion: a comparison with SVM-RFE
by: Kuhara Satoru, et al.
Published: (2006-12-01) -
Prediction of drought-resistant genes in Arabidopsis thaliana using SVM-RFE.
by: Yanchun Liang, et al.
Published: (2011-01-01) -
Mapping of Soil pH Based on SVM-RFE Feature Selection Algorithm
by: Jia Guo, et al.
Published: (2022-11-01) -
Selecting Feature Subsets Based on SVM-RFE and the Overlapping Ratio with Applications in Bioinformatics
by: Xiaohui Lin, et al.
Published: (2017-12-01)