Multinomial Regression with Elastic Net Penalty and Its Grouping Effect in Gene Selection
For the multiclass classification problem of microarray data, a new optimization model named multinomial regression with the elastic net penalty was proposed in this paper. By combining the multinomial likeliyhood loss and the multiclass elastic net penalty, the optimization model was constructed, w...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2014-01-01
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| Series: | Abstract and Applied Analysis |
| Online Access: | http://dx.doi.org/10.1155/2014/569501 |
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| _version_ | 1832563002847526912 |
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| author | Liuyuan Chen Jie Yang Juntao Li Xiaoyu Wang |
| author_facet | Liuyuan Chen Jie Yang Juntao Li Xiaoyu Wang |
| author_sort | Liuyuan Chen |
| collection | DOAJ |
| description | For the multiclass classification problem of microarray data, a new optimization model named multinomial regression with the elastic net penalty was proposed in this paper. By combining the multinomial likeliyhood loss and the multiclass elastic net penalty, the optimization model was constructed, which was proved to encourage a grouping effect in gene selection for multiclass classification. |
| format | Article |
| id | doaj-art-209dab97e93042468a9a3375cbf02b64 |
| institution | Kabale University |
| issn | 1085-3375 1687-0409 |
| language | English |
| publishDate | 2014-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Abstract and Applied Analysis |
| spelling | doaj-art-209dab97e93042468a9a3375cbf02b642025-02-03T01:21:10ZengWileyAbstract and Applied Analysis1085-33751687-04092014-01-01201410.1155/2014/569501569501Multinomial Regression with Elastic Net Penalty and Its Grouping Effect in Gene SelectionLiuyuan Chen0Jie Yang1Juntao Li2Xiaoyu Wang3School of Information Engineering, Wuhan University of Technology, Wuhan 430070, ChinaSchool of Information Engineering, Wuhan University of Technology, Wuhan 430070, ChinaSchool of Mathematics and Information Science, Henan Normal University, Xinxiang 453007, ChinaSchool of Mathematics and Information Science, Henan Normal University, Xinxiang 453007, ChinaFor the multiclass classification problem of microarray data, a new optimization model named multinomial regression with the elastic net penalty was proposed in this paper. By combining the multinomial likeliyhood loss and the multiclass elastic net penalty, the optimization model was constructed, which was proved to encourage a grouping effect in gene selection for multiclass classification.http://dx.doi.org/10.1155/2014/569501 |
| spellingShingle | Liuyuan Chen Jie Yang Juntao Li Xiaoyu Wang Multinomial Regression with Elastic Net Penalty and Its Grouping Effect in Gene Selection Abstract and Applied Analysis |
| title | Multinomial Regression with Elastic Net Penalty and Its Grouping Effect in Gene Selection |
| title_full | Multinomial Regression with Elastic Net Penalty and Its Grouping Effect in Gene Selection |
| title_fullStr | Multinomial Regression with Elastic Net Penalty and Its Grouping Effect in Gene Selection |
| title_full_unstemmed | Multinomial Regression with Elastic Net Penalty and Its Grouping Effect in Gene Selection |
| title_short | Multinomial Regression with Elastic Net Penalty and Its Grouping Effect in Gene Selection |
| title_sort | multinomial regression with elastic net penalty and its grouping effect in gene selection |
| url | http://dx.doi.org/10.1155/2014/569501 |
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