Comorbidity Analysis?

How to use

1. Choose your starting point: a set of Diseases, or a set of Genes.
2. Search for names and move them into the "Selected" box using the → button (or double-click); use ← to remove one. Click Load Example to try it with sample data first.
3. Pick a dataset: Curated (faster) or Curated + Text Mining (broader coverage, but computationally intensive — may take longer).
4. Submit to see pairwise comorbidity heatmaps for every combination in your selection.

What you get

• Pairwise heatmaps — hover any cell to see the exact score for that pair.
• Shared Genes (Disease mode) / Shared Diseases (Gene mode): how much overlap exists between each pair, relative to whichever member has fewer.
• Gene Uniqueness / Disease Uniqueness: weights the overlap by how distinctive the shared genes/diseases are — ones linked to very few diseases/genes count for more.
• Shared Ontologies (Disease mode only): overlap of GO terms linked to each disease's genes.
• Shared Phenotype: overlap in the clinical signs and symptoms (HPO terms) each pair's genes are linked to — reveals relatedness a shared-gene count alone can miss.
• Tissue Specificity: overlap in the tissues where each pair's genes are actively expressed (nTPM ≥ 1) — reveals whether the relationship looks localized to a few tissues or systemic.
• Each tab has a Download button for the heatmap image (PNG/SVG/JPEG) and a separate one for the results table (CSV/PDF).