array(2) { ["lab"]=> string(4) "1409" ["publication"]=> string(5) "12514" } Adaptive shooting regularization method for survival analysis using gene expression data - Liang Yong | LabXing

Liang Yong

简介 中藥質量控制資訊系統，生物資訊學

大学 Macau University of Science and Technology / Faculty of Information Technology
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Adaptive shooting regularization method for survival analysis using gene expression data

2013
期刊 The Scientific World Journal
A new adaptive shooting regularization method for variable selection based on the Cox’s proportional hazards mode being proposed. This adaptive shooting algorithm can be easily obtained by the optimization of a reweighed iterative series of penalties and a shooting strategy of penalty. Simulation results based on high dimensional artificial data show that the adaptive 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 regularization method performs competitively.

  • 卷 2013
  • Hindawi
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