SEDEG: An automatic method for preprocessing and selection of seed genes from gene expression data

Select Essential Differential Expressed Genes (SEDEG) is a software pipeline designed to simplify the time-consuming and error-prone task of preparing Differential Expressed Genes (DEGs) for Pathway Enrichment Analysis (PEA). It automatically preprocesses, filters, and selects DEGs, making interpreting results of gene expression microarrays and Genome-Wide Association Studies easier. SEDEG is a Python tool that automates multiple different actions simultaneously, saving researchers significant time and effort. It identifies crucial DEGs and enriched pathways related to the condition being investigated. The SEDEG pipeline is a tool that enhances the consolidation process of DEGs, which is essential for computing PEA. It achieves this by automating several manual steps, resulting in more accurate lists of DEGs for PEA analysis. This automation also improves the relevance and significance of enriched pathways. To download SEDEG, please visit https://gitlab.com/giuseppeagapito/sedeg.