正则化多项式回归的大鼠肝再生基因芯片数据分析

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英文篇名：Data Analysis of Rat Liver Regeneration Gene Chip Based on Regularized Polynomial Regression 作者：王小玉 ; 王亚兰 ; 常明明 英文作者：WANG Xiaoyu;WANG Yalan;CHANG Mingming;Department of Public Basic Course Education,Zhengzhou Technology and Business University;College of Mathematics and Information Science,Henan Normal University; 关键词：多项式回归 ; 正则化 ; 肝再生 ; 基因芯片 ; 群体特征选择 英文关键词：polynomial regression;;regularization;;liver regeneration;;gene chip;;population feature selection 中文刊名：HLKB 英文刊名：Journal of Henan Institute of Education(Natural Science Edition) 机构：郑州工商学院公共基础教学部;河南师范大学数学与信息科学学院; 出版日期：2019-04-03 14:04 出版单位：河南教育学院学报(自然科学版) 年：2019 期：v.28;No.102 基金：国家自然科学基金(61203293);; 河南省高校科技创新人才(13HASTIT040);; 河南省重点科技公关计划(172102210047);; 河南省高等学校重点科研项目计划(18A520015);; 郑州工商学院2018年度教育校级教学改革研究项目(GSJG201811) 语种：中文; 页：HLKB201901003 页数：4 CN：01 ISSN：41-1246/G4 分类号：14-17

摘要

针对大鼠肝再生基因表达谱芯片数据挖掘问题,根据肝再生的生理活动过程与时间有关的特点,将其转化为多分类问题,进而利用正则化多项式回归对每一个子过程分别进行相关基因选择.此外,还分析了所选择基因间的通路关系,验证了所选基因的生物合理性.
        Aiming at the problem of gene expression profile data mining in rat liver regeneration,and according to the characteristics of physiological process and time related to liver regeneration which is transformed into multiclassification problem. Then the regularized polynomial regression was used to select the genes for each subprocess.In addition,the relationship between the selected genes was analyzed and the biological rationality of the selected genes was verified.

引文

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