Functional Genomics.

Gene Expression Data Analysis

A common approach to interpreting gene expression data is gene set enrichment analysis grounded on the functional reflection of the differentially expressed genes. This is useful for chancing out if the differentially expressed genes are associated with a certain natural process or molecular function. Gene expression analysis contemporaneously compares the RNA expression situations of multiple genes (profiling) and/ or multiple samples (webbing). This analysis can help scientists identify the molecular base of phenotypic differences and to elect gene expression targets for in- depth study.