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Hybrid huberized support vector machines for microarray classification and gene selection
Li Wang, Ji Zhu,
Hui Zou
Statistics (Twin Cities)
Research output
:
Contribution to journal
›
Article
›
peer-review
147
Scopus citations
Overview
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Dive into the research topics of 'Hybrid huberized support vector machines for microarray classification and gene selection'. Together they form a unique fingerprint.
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Mathematics
Gene Selection
100%
Microarray
78%
Support Vector Machine
77%
L1-norm
38%
Gene
20%
Tend
6%
Elastic Net
6%
Entire Solution
4%
Norm
4%
Standards
4%
Training
4%
Variable Selection
4%
Loss Function
4%
Penalty
3%
Efficient Algorithms
3%
Singularity
2%
Path
2%
Numerical Results
2%
Performance
2%
Coefficient
2%
Engineering & Materials Science
Microarrays
69%
Genes
58%
Support vector machines
49%
Hinges
4%
Medicine & Life Sciences
Support Vector Machine
75%
Genes
24%
Chemical Compounds
Microarrays
66%