In order to construct a gene regulatory network model, a method combining correlation analysis and principal component analysis is proposed. Use Pearson's correlation coefficient for correlation analysis to construct an initial gene regulatory network. Then use the principal component analysis method to establish the trimming principle, so as to obtain a new gene regulatory network. Using the expression data of 10 genes of Escherichia coli (Ecoli1) in Dream3 for testing, the results show that referring to the benchmark network under the gold standard, the gene regulation network obtained by the proposed method has high accuracy.
董艺, 路云龙.
基于相关性分析和主成分分析的基因调控网络研究
[J]. 吉林化工学院学报, 2021, 38(9): 112-116.
DONG Yi, LU Yunlong.
Research on Gene Regulatory Network Based on Correlation Analysis and Principal Component Analysis
. Journal of Jilin Institute of Chemical Technology, 2021, 38(9): 112-116.