Which GeDiPNet Analysis Tool Should I Use?

GeDiPNet has four separate analysis tools, and it's not always obvious which one fits a given question. This guide walks through what each tool actually answers and what you get back — so you can go straight to the right one.

The four tools at a glance

Enrichment analysis

Answers: "Given this gene list, which diseases, pathways, or tissues is it significantly linked to?" Run disease or pathway enrichment right after generating a gene list from an experiment.

GeDiPNet Enrichment Analysis gene input page

Venn analysis

Answers: "What overlaps and what's unique across up to 6 sets of genes, pathways, ontologies, or domains?" Use Venn analysis when comparing sets directly rather than testing significance.

GeDiPNet Venn Analysis: Genes result for Diabetes mellitus type 2 vs. Alzheimer disease

Comorbidity prediction

Answers: "How related are these diseases (or genes), based on what they share biologically?" Read the full walkthrough in our comorbidity analysis guide.

GeDiPNet Comorbidity Analysis hub input page

Polypharmacological target prediction

Answers: "For a set of comorbid diseases, which shared genes or pathways make good multi-target drug candidates?" The natural next step after comorbidity analysis has identified related diseases.

GeDiPNet Polypharmacological Target Prediction input page

Quick comparison

ToolQuestion it answersInput
Enrichment analysis What is this gene list collectively linked to? A gene list
Venn analysis What overlaps between these sets? 2–6 gene/pathway/ontology sets
Comorbidity prediction How related are these diseases or genes? A list of diseases or genes
Polypharmacological target prediction What shared targets could treat multiple comorbid diseases at once? A set of comorbid diseases

Still not sure which fits your question? Ask GeDiPNet's chat assistant directly — see our guide on searching with plain-language questions — or reach out via Contact Us. Want to see these tools used together on a real question? Read our complete case study.

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