Biomarker Identification of Rat Liver Regeneration via Adaptive Logistic Regression

This paper is devoted to identifying the biomarkers of rat liver regeneration via the adaptive logistic regression. By combining the adaptive elastic net penalty with the logistic regression loss, the adaptive logistic regression is proposed to adaptively identify the important genes in groups. Furthermore, by improving the pathwise coordinate descent algorithm, a fast solving algorithm is developed for computing the regularized paths of the adaptive logistic regression. The results from the experiments performed on the microarray data of rat liver regeneration are provided to illustrate the effectiveness of the proposed method and verify the biological rationality of the selected biomarkers.

中医药认知与满意度的现状调查与实证研究

本文旨在了解公众对中医药的认知度和满意度现状,建立回归模型探讨公众对中医药选择意愿的影响因素。首先通过文本挖掘获取可靠的先验信息,由此构建问卷指标,并用信效度检验评价问卷的最终质量;基于十折交叉验证选取最优的调节参数λ,采用训练集和测试集两个方面的分类准确率比较Logistic回归、逐步Logistic回归和Adaptive Lasso Logistic回归,使用阈值移动和调整权重进一步改进模型。实验结果表明信任度是影响公众选择的重要因素,需建设具有权威性的中医药传播自媒体,对不同地区、不同年龄和不同性别的人群采取不同的传播方式与传播手段,着力改善中医药的价格、品质和服务方面,提高公众的满意度。