Comparison of genome-wide differential expression between disease and healthy control samples
RNA-sequencing or expression microarray experiments are used to generate gene expression profiles. This enables genome-wide expression comparisons between samples, such as disease vs. healthy tissue, treated vs. control or mutated model vs. wild type. Using suitable thresholds for both fold change (X-axis) and statistical significance (Y-axis) yields genes that are differentially expressed between the samples. These genes can both reflect and explain the phenotypic differences at a molecular level.