Adaptive L1/2 Shooting Regularization Method for Survival Analysis Using Gene Expression Data
A new adaptive L1/2 shooting regularization method for variable selection based on the Cox’s proportional hazards mode being proposed. This adaptive L1/2 shooting algorithm can be easily obtained by the optimization of a reweighed iterative series of L1 penalties and a shooting strategy of L1/2 pena...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2013-01-01
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| Series: | The Scientific World Journal |
| Online Access: | http://dx.doi.org/10.1155/2013/475702 |
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| _version_ | 1849766686472798208 |
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| author | Xiao-Ying Liu Yong Liang Zong-Ben Xu Hai Zhang Kwong-Sak Leung |
| author_facet | Xiao-Ying Liu Yong Liang Zong-Ben Xu Hai Zhang Kwong-Sak Leung |
| author_sort | Xiao-Ying Liu |
| collection | DOAJ |
| description | A new adaptive L1/2 shooting regularization method for variable selection based on the Cox’s proportional hazards mode being proposed. This adaptive L1/2 shooting algorithm can be easily obtained by the optimization of a reweighed iterative series of L1 penalties and a shooting strategy of L1/2 penalty. Simulation results based on high dimensional artificial data show that the adaptive L1/2 shooting regularization method can be more accurate for variable selection than Lasso and adaptive Lasso methods. The results from real gene expression dataset (DLBCL) also indicate that the L1/2 regularization method performs competitively. |
| format | Article |
| id | doaj-art-b021f4d3a29d4e0cbd579615e7340069 |
| institution | DOAJ |
| issn | 1537-744X |
| language | English |
| publishDate | 2013-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | The Scientific World Journal |
| spelling | doaj-art-b021f4d3a29d4e0cbd579615e73400692025-08-20T03:04:30ZengWileyThe Scientific World Journal1537-744X2013-01-01201310.1155/2013/475702475702Adaptive L1/2 Shooting Regularization Method for Survival Analysis Using Gene Expression DataXiao-Ying Liu0Yong Liang1Zong-Ben Xu2Hai Zhang3Kwong-Sak Leung4Faculty of Information Technology & State Key Laboratory of Quality Research in Chinese Medicines, Macau University of Science and Technology, Macau 999078, ChinaFaculty of Information Technology & State Key Laboratory of Quality Research in Chinese Medicines, Macau University of Science and Technology, Macau 999078, ChinaFaculty of Science, Xi’an Jiaotong University, Xi’an 710000, ChinaFaculty of Science, Xi’an Jiaotong University, Xi’an 710000, ChinaDepartment of Computer Science and Technology, The Chinese University of Hong Kong, Hong Kong 999077, ChinaA new adaptive L1/2 shooting regularization method for variable selection based on the Cox’s proportional hazards mode being proposed. This adaptive L1/2 shooting algorithm can be easily obtained by the optimization of a reweighed iterative series of L1 penalties and a shooting strategy of L1/2 penalty. Simulation results based on high dimensional artificial data show that the adaptive L1/2 shooting regularization method can be more accurate for variable selection than Lasso and adaptive Lasso methods. The results from real gene expression dataset (DLBCL) also indicate that the L1/2 regularization method performs competitively.http://dx.doi.org/10.1155/2013/475702 |
| spellingShingle | Xiao-Ying Liu Yong Liang Zong-Ben Xu Hai Zhang Kwong-Sak Leung Adaptive L1/2 Shooting Regularization Method for Survival Analysis Using Gene Expression Data The Scientific World Journal |
| title | Adaptive L1/2 Shooting Regularization Method for Survival Analysis Using Gene Expression Data |
| title_full | Adaptive L1/2 Shooting Regularization Method for Survival Analysis Using Gene Expression Data |
| title_fullStr | Adaptive L1/2 Shooting Regularization Method for Survival Analysis Using Gene Expression Data |
| title_full_unstemmed | Adaptive L1/2 Shooting Regularization Method for Survival Analysis Using Gene Expression Data |
| title_short | Adaptive L1/2 Shooting Regularization Method for Survival Analysis Using Gene Expression Data |
| title_sort | adaptive l1 2 shooting regularization method for survival analysis using gene expression data |
| url | http://dx.doi.org/10.1155/2013/475702 |
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