Differential gene expression analysis is a fundamental technique in bioinformatics that plays a crucial role in deciphering the complex mechanisms underlying various biological processes. By comparing gene expression levels between different conditions or treatments, researchers can identify genes expressed differentially concerning a trait of interest in the background of other identical or similar characteristics. For the analysis of placental tissues, such factors include gestational age, tissue type (biological specimen), health or disease, fetal sex, etc. The "Key Attributes" diagram represents the IGEA sample distribution based on available characteristics.For more details, check our article by Lykhenko, O., Frolova, A., & Obolenska, M. (2017). Designing the database for microarray experiments metadata. 2017 IEEE International Young Scientists Forum on Applied Physics and Engineering (YSF). IEEE. doi: 10.1109/YSF.2017.8126658.