A brief procedure for big data analysis of gene expression  

作　　者：Kewei Wang Wenji Wang Mang Li 

机构地区：[1]Institute of Cell Biotechnology, China and Russia Medical Research Center [2]Center for Endemic Disease Control,Chinese Center for Disease Control and Prevention [3]Key Laboratory of Etiology and Epidemiology, National Health and Family Planning Commission of the People's Republic of China [4]Harbin Medical University [5]Departments of Surgery, University of Illinois College of Medicine [6]Institute of Laboratory Animal Sciences,Chinese Academy of Medical Sciences&Peking Union Medical College

出　　处：《Animal Models and Experimental Medicine》2018年第3期189-193,共5页动物模型与实验医学（英文）

摘　　要：There are a lot of biological and experimental data from genomics, proteomics, drug screening, medicinal chemistry, etc. A large amount of data must be analyzed by special methods of statistics, bioinformatics, and computer science. Big data analysis is an effective way to build scientific hypothesis and explore internal mechanism.Here, gene expression is taken as an example to illustrate the basic procedure of the big data analysis.There are a lot of biological and experimental data from genomics, proteomics, drug screening, medicinal chemistry, etc. A large amount of data must be analyzed by special methods of statistics, bioinformatics, and computer science. Big data analysis is an effective way to build scientific hypothesis and explore internal mechanism.Here, gene expression is taken as an example to illustrate the basic procedure of the big data analysis.

关 键 词：BIG data ANALYSIS CLUSTER ANALYSIS MICROARRAY PCA ANALYSIS regression model 

分 类 号：R[医药卫生]