Selecting Feature Subsets Based on SVM-RFE and the Overlapping Ratio with Applications in Bioinformatics-Reference-Cited by-同舟云学术

Selecting Feature Subsets Based on SVM-RFE and the Overlapping Ratio with Applications in Bioinformatics

Published:2017-12-26 Issue:1 Volume:23 Page:52
ISSN:1420-3049
Container-title:Molecules
language:en
Short-container-title:Molecules

Author:

Lin Xiaohui,Li Chao,Zhang Yanhui,Su Benzhe,Fan Meng,Wei Hai

Publisher

MDPI AG

Subject

Chemistry (miscellaneous),Analytical Chemistry,Organic Chemistry,Physical and Theoretical Chemistry,Molecular Medicine,Drug Discovery,Pharmaceutical Science

Link

http://www.mdpi.com/1420-3049/23/1/52/pdf

Reference34 articles.

1. Rotation invariant power line insulator detection using local directional pattern and support vector machine

2. Hybrid Tolerance Rough Set–Firefly based supervised feature selection for MRI brain tumor image classification

3. Integrating Support Vector Regression with Particle Swarm Optimization for Numerical Modeling for Algal Blooms of Freshwater

4. A New Combinatorial Optimization Approach for Integrated Feature Selection Using Different Datasets: A Prostate Cancer Transcriptomic Study

5. A Critical Assessment of Feature Selection Methods for Biomarker Discovery in Clinical Proteomics

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