Application of weighted gene co-expression network analysis technology in human tumor research
10.3781/j.issn.1000-7431.2019.55.164
- Author:
Yaoqun WANG
1
Author Information
1. Department of Clinical Medicine, First Clinical Medical College of Anhui Medical University
- Publication Type:Journal Article
- Keywords:
Computational biology;
High-throughput screening assays;
Neoplasms;
Weighted gene co-expression network analysis
- From:
Tumor
2019;39(11):949-954
- CountryChina
- Language:Chinese
-
Abstract:
Weighted gene co-expression network analysis (WGCNA) technology is a high-throughput gene expression data mining algorithm, which uses the idea of system biology to find the correlation of gene expression and to construct gene modules, so as to further discovery a high-throughput data mining algorithm with biological significance modules. In recent years, with the deep understanding of human diseases to gene level, WGCNA has been used increasingly in the researches of various diseases, especially in mining the highthroughput data about tumor-related genes. Moreover, with the continuous improvement of this technology, the research of this technology in disease pathogenesis, development and treatment etc has been developed from a single co-expression network analysis to the multiple technologies [such as genome-wide association study (GWAS) and support vector machine (SVM)] combined WGCNA or the innovative applicated WGCNA. As a high-throughput research method based on gene level, WGCNA is playing an important role.
