Biomarker Identification of Rat Liver Regeneration via Adaptive Logistic Regression 被引量：2

Biomarker Identification of Rat Liver Regeneration via Adaptive Logistic Regression

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摘要 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. 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.

作者 Liu-Yuan Chen Jie Yang Guo-Guo Xu Yun-Qing Liu Jun-Tao Li Cun-Shuan Xu

机构地区 School of Information Engineering College of Mathematics and Information Sciences State Key Laboratory Cultivation Base for Cell Differentiation Regulation

出处《International Journal of Automation and computing》 EI CSCD 2016年第2期191-198,共8页 国际自动化与计算杂志（英文版）

基金 supported by National Nature Science Foundation of China(No.61203293) Key Scientific and Technological Project of Henan Province(No.122102210131) Program for Science and Technology Innovation Talents in Universities of Henan Province(No.13HASTIT040) Foundation of Henan Educational Committee(No.13A120524) Henan Normal University Doctoral Topics(No.qd14156) Henan Higher School Funding Scheme for Young Teachers(No.2012GGJS-063)

关键词 Adaptive logistic regression gene selection microarray classification grouping effect rat liver regeneration Adaptive logistic regression, gene selection, microarray classification, grouping effect, rat liver regeneration

分类号 Q811.4 [生物学—生物工程]

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1LI Jun-Tao JIA Ying-Min.An Improved Elastic Net for Cancer Classification and Gene Selection[J].自动化学报,2010,36(7):976-981. 被引量：7

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