{Reference Type}: Journal Article
{Title}: DExplore: An Online Tool for Detecting Differentially Expressed Genes from mRNA Microarray Experiments.
{Author}: Katsiki AD;Karatzas PE;De Lastic HX;Georgakilas AG;Tsitsilonis O;Vorgias CE;
{Journal}: Biology (Basel)
{Volume}: 13
{Issue}: 5
{Year}: 2024 May 16
{Factor}: 5.168
{DOI}: 10.3390/biology13050351
{Abstract}: Microarray experiments, a mainstay in gene expression analysis for nearly two decades, pose challenges due to their complexity. To address this, we introduce DExplore, a user-friendly web application enabling researchers to detect differentially expressed genes using data from NCBI's GEO. Developed with R, Shiny, and Bioconductor, DExplore integrates WebGestalt for functional enrichment analysis. It also provides visualization plots for enhanced result interpretation. With a Docker image for local execution, DExplore accommodates unpublished data. To illustrate its utility, we showcase two case studies on cancer cells treated with chemotherapeutic drugs. DExplore streamlines microarray data analysis, empowering molecular biologists to focus on genes of biological significance.