https://www.selleckchem.com/pr....oducts/pf-06650833.h
In genome research, it is particularly important to identify molecular biomarkers or signaling pathways related to phenotypes. Logistic regression model is a powerful discrimination method that can offer a clear statistical explanation and obtain the classification probability of classification label information. However, it is unable to fulfill biomarker selection. The aim of this paper is to give the model efficient gene selection capability. In this paper, we propose a new penalized logsum network-based regularization logistic re
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