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Research Areas

Computational BiologySingle-cell, bulk RNA-seq, spatial, and biomarkers
CardiologyCardiovascular signals, cohorts, and interpretationImmunologyImmune cell states, signaling networks, and repertoire dynamicsNeurologyBrain connectivity, functional imaging, and electrophysiologyOncologyTumor microenvironment, immune response, mutations, and survivalPathologyWhole-slide imaging, tissue quantification, and spatial pathology

Application

Documentation

Documentation

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Interpret

Interpret turns structured analysis outputs into biological context. It reads from completed runs; it does not recompute statistics.

Annotations

Shows cluster- or domain-level summaries with top marker genes. AI-suggested cell type labels will appear here when the interpretation layer is enabled; until then, use marker tables to assign identities manually.

Enrichment

Links to the GO enrichment tree built from the latest DE or enrichment run. Terms are ranked by significance; click through to gene lists.

Gene Sets

Import gene lists from DE or enrichment into a working set for Explore overlays. Saved gene sets persist in your browser for the current study.

Disease Evidence

Maps selected run-derived gene sets to the bundled disease association lookup. Use it to see which known disease categories overlap with DE genes, cluster markers, enrichment gene lists, or biomarker panels. This is research context, not diagnostic evidence.

AI Summaries

Planned: narrative summaries of clusters, DE contrasts, and pathways grounded in computed results — not generated statistics. Disease Evidence is available separately; AI-written interpretation still requires the interpretation service.

Methods Provenance

Lists parameters, dataset IDs, and run IDs for completed steps. Use this panel when drafting manuscript methods sections. AI-drafted methods text will attach to the same provenance records in a future release.

Rules for interpretation

  • Always verify AI or suggested labels against marker gene evidence.
  • Check whether results are stale on the Runs page before citing them in a report.
  • Enrichment quality depends on gene symbol identifiers matching the reference database (HGNC for human demo data).