改进的主成分分析法对拟南芥基因的分析  

The improved principal component analysis of arabidopsis thaliana gene method

作　　者：代晓琳[1] 马学强[1,2] 王甜甜[2] 

机构地区：[1]山东师范大学信息科学与工程学院,山东济南250014 [2]山东省分布式计算机软件新技术重点实验室,山东济南250014

出　　处：《微型机与应用》2015年第14期51-53,57,共4页Microcomputer & Its Applications

基　　金：山东省高等学校科技计划项目(J14LN09)

摘　　要：对拟南芥的幼苗进行不同盐浓度的处理,然后提取株系的RNA进行RNA-SEQ分析。为了能够对这些基因数据进行精确的分析,将对拟南芥幼苗的基因数据进行两步处理,首先对这些数据进行评估,包括对这些数据进行极差归一化,做直方图,使得对这些数据有大概的了解;然后提出了改进的主成分分析法的基因分析算法。改进的主成分分析法不仅包含了原始基因数据的全部信息,而且弥补了传统主成分分析法的缺陷,可以处理数据的非线性特征,还反映了数据间的变异信息,使得数据的处理更加简明、准确。结果表明,盐胁迫对拟南芥DNA到RNA(即转录)的后期对RNA前体的加工方式没有太大的影响。First of all, the seedlings of Arabidopsis thaliana are processed with different salinities ,and then the RNA of seedlings is extracted for analysis of RNA-SEQ. To obtain accurate analysis of these genes, two steps are adopted to process the genetic data of Arabidopsis thaliana seedlings. Firstly, data evaluation including range normalization and histogram are made to get a general idea of the data. Then ,an improved method of principal component analysis for the genetic analysis is further put forward, which not only contains all the information in original genetic data, but also makes up the defects of the traditional principal component analysis. It can deal with nonlinear characteristics of data, as well as reflect the variation information between data, making the data processing more concise and accurate. Through analysis of genetic data, a general evaluation can be obtained, that is salt stress does not have much impact on the processing mode of RNA precursor in the late transcription of Arabidopsis from DNA to RNA.

关 键 词：特征值 贡献率 标准化 主成分分析法 极差归一化 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]