Conducting meta-analysis of gene expression data using R package metaMA
Li Xianjing
Deng Qiaoling
Li Jiaxing
Zhang Chenxi
Que Yating
Weng Hong
Huang Jingyu
Li Sheng
Abstract：Gene chip technology for sequencing hybridization, that is, the principle of complementary base pairing. The rapid development of gene chip technology is a powerful tool for genome analysis. Due to the diversity of gene chip types and their data formats, it is of great importance to conduct a comprehensive and complete analysis of the genome data. R is a free, open source statistical software that enables the analysis of different types of gene chips by loading different packages. Before conducting meta-analysis of gene expression profiles of microarray data using the metaMA package, genes from different studiesneed to be converted into the same format. Draw the Venn diagram was used to visualize the differently expressed genes among multiple studies. In the present study, three cases of oral squamous cell carcinoma genome data was used as an exampleto describe how to use the metaMA packagein R to find differentially expressed genes among thesestudies.
Keywords：R SoftwareMicroarray DataMetaMA Pipeline
Publication Date：2019-01-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：5( 782-786 )