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Feature Genes Selection Using Supervised Locally Linear Embedding and Correlation Coefficient for Microarray Classification
The selection of feature genes with high recognition ability from the gene expression profiles has gained great significance in biology. However, most of the existing methods have a high time complexity and poor classification performance. Motivated by this, an effective feature selection method, ca...
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| Vydáno v: | Comput Math Methods Med |
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| Hlavní autoři: | , , , |
| Médium: | Artigo |
| Jazyk: | Inglês |
| Vydáno: |
Hindawi
2018
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| Témata: | |
| On-line přístup: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5831962/ https://ncbi.nlm.nih.gov/pubmed/29666661 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1155/2018/5490513 |
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