A brief procedure for big data analysis of gene expression. Issue 3 (25th September 2018)

• Record Type: Journal Article
• Authors: Wang, Kewei; Wang, Wenji; Li, Mang
• Is Part Of: Animal models and experimental medicine. Volume 1:Issue 3(2018)
• Page Start: 189
• Page End: 193
• Publication Date: 2018-09-25
• Subjects: big data analysis -- cluster analysis -- microarray -- PCA analysis -- regression model; Laboratory animals -- Periodicals; Diseases -- Animal models -- Periodicals; Animal models in research -- Periodicals; Veterinary medicine -- Periodicals; Laboratory Animal Science; Disease Models, Animal; Animals, Laboratory; Animal Welfare; Veterinary Medicine; Animal models in research; Diseases -- Animal models; Laboratory animals; Veterinary medicine; Periodicals; Fulltext; Internet Resources; Periodicals; Periodicals; 616.0273
• DOI: 10.1002/ame2.12028
• Languages: English
• ISSNs: 2576-2095

Abstract

Abstract: 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.