//localhost:4321/key-objective-2/agatashakira-the-aop-project-part5/index.html The AOP project ► Key objective 2 Author: Shakira Agata This Jupyter notebook describes the steps needed for the mapping of transcriptomics datasets in the constructed enriched AOP network. For this notebook, open license transcriptomics datasets were derived from ArrayExpress and Gene Expression Omnibus (GEO). These datasets were preprocessed followed by execution of statistical analysis to identify differential expression genes (DEG). The tabulation of differential gene expression data was subsequently mapped/integrated into the network. This notebook is subdivided into the following six sections: Hugo en