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Single-Cell Analysis — Overview

Kind: engine · Demo: E8 · Source: core/engines/single-cell

Single-Cell Analysis — process overview

Illustrative. Single-Cell Analysis at a glance.

What it is

Takes a sample of thousands of individual cells and works out how many distinct cell types are present.

Why it matters

Bulk measurements average across cell types and hide the population that matters. Single-cell resolution recovers it.

Decision support for a qualified clinician — never autonomous diagnosis or prescribing. Every output on this page is intended to inform a clinician's judgement, not replace it.

Honest limit

Cluster annotation is by marker-gene overlap against a canonical panel. It is a strong heuristic, not a ground truth.

Endpoints

:8573 — a single-service portal, so there is no separate API port

Capability Type Status Endpoint
singlecell-compute engine live localhost:8573

Size and health
Python files 3
Lines of code 174
Test files 1
Containerised yes

Verify at any time:

.venv/bin/python scripts/run_all_tests.py single-cell

Where to go next