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- Title
A novel Log penalty in a path seeking scheme for biomarker selection.
- Authors
Wang, Sai; Zhang, Hui; Chai, Hua; Liang, Yong; Gómez, Carlos; Schwarzacher, Severin P.
- Abstract
Biomarker selection or feature selection from survival data is a topic of considerable interest. Recently various survival analysis approaches for biomarker selection have been developed; however, there are growing challenges to currently methods for handling high-dimensional and low-sample problem. We propose a novel Log-sum regularization estimator within accelerated failure time (AFT) for predicting cancer patient survival time with a few biomarkers. This approach is implemented in path seeking algorithm to speed up solving the Log-sum penalty. Additionally, the control parameter of Log-sum penalty is modified by Bayesian information criterion (BIC). The results indicate that our proposed approach is able to achieve good performance in both simulated and real datasets with other ℓ1 type regularization methods for biomarker selection.
- Subjects
CANCER diagnosis; BIOLOGICAL tags; CANCER patients; BAYESIAN analysis; COMPUTER algorithms
- Publication
Technology & Health Care, 2019, Vol 27, p85
- ISSN
0928-7329
- Publication type
journal article
- DOI
10.3233/THC-199009