Research Paper Volume 12, Issue 19 pp 19173—19220
Integrative genomics analysis identifies promising SNPs and genes implicated in tuberculosis risk based on multiple omics datasets
The expression patterns of these 26 risk genes between infected cells and uninfected cells based on the GSE133803 dataset. (A) Heatmap showing the expression levels of 26 risk genes between infected cells and uninfected cells; * represents the t-test P value < 0.05, ** represents the t-test P value < 0.01; (B) The co-expression patterns of 26 risk genes based on the Pearson correlation analysis in uninfected cells; (C) The co-expression patterns of 26 risk genes based on the Pearson correlation analysis in infected cells.