array(2) { ["lab"]=> string(4) "1409" ["publication"]=> string(5) "12552" } The L1/2 regularization approach for survival analysis in the accelerated failure time model - 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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The L1/2 regularization approach for survival analysis in the accelerated failure time model

2015
期刊 Computers in biology and medicine
The analysis of high-dimensional and low-sample size microarray data for survival analysis of cancer patients is an important problem. It is a huge challenge to select the significantly relevant bio-marks from microarray gene expression datasets, in which the number of genes is far more than the size of samples. In this article, we develop a robust prediction approach for survival time of patient by a L1/2 regularization estimator with the accelerated failure time (AFT) model. The L1/2 regularization could be seen as a typical delegate of Lq(0

  • 卷 64
  • 页码 283-290
  • Pergamon
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