A living catalogue 📚 of computational methods that attempt to identify mechanistic cause‑and‑effect links and predict responses in unobserved settings. The project curates > 100 tools, classifies them by task, and provides a browsable web interface with informative tables and technical descriptions.
| Resource | URL |
|---|---|
| Manuscript | Interpretation, extrapolation and perturbation of single cells, Nat Rev Genet (2026) |
| Documentation | https://interp-extrap-perturb.readthedocs.io/ |
| Contribute | Contribution Guidelines - Add your method! |
We welcome contributions! 🎉 Whether you want to:
- 🆕 Add a new method — Create a YAML file in
methods/ - ✏️ Update existing methods — Edit the corresponding YAML file
- 🐛 Report issues — Open an issue on GitHub
- 💡 Suggest improvements — We're always open to ideas!
👉 Get Started: Check our 📋 Contribution Guidelines for detailed instructions.
Automated data flow from methods/ YAML files to the rendered documentation site, as follows:
-
methods/*.yaml— canonical metadata (method, year, tasks, code link, …). -
generate_methods.pyconverts YAMLs → ReStructuredText via Jinja2:- One overview page (
methods.rst). - One page per task (slugified).
Tasks are listed in
tasklist.txt; unknown tasks raise a warning.
- One overview page (
-
Sphinx + sphinx‑book‑theme renders the site;
-
ReadTheDocs rebuilds the Website on each push.
graph LR
A[🗃️ methods/*.yaml] --> B[🐍 generate_methods.py]
B --> C[📄 docs/methods*.rst]
C --> D[🔧 Sphinx]
D --> E[🌐 Read the Docs]
style A fill:#e1f5fe
style B fill:#f3e5f5
style C fill:#fff3e0
style D fill:#e8f5e8
style E fill:#fce4ec
- 📁 Individual YAML Files — Each method stored as
methods/method_name.yamlwith structured metadata - 🛠️ Generation Script —
generate_methods.pyconverts YAML → ReStructuredText via Jinja2:- 📊 One overview page (
methods.rst) with sortable table - 🏷️ One page per task category (auto-slugified)
⚠️ Tasks validation againsttasklist.txt
- 📊 One overview page (
- 📚 Sphinx Rendering — Uses sphinx‑book‑theme for professional styling
- 🚀 Auto-Deployment — ReadTheDocs rebuilds on each push to
main
Dimitrov*, D., Schrod*, S., Rohbeck, M., and Stegle, O. Interpretation, extrapolation and perturbation of single cells. Nat Rev Genet (2026). https://doi.org/10.1038/s41576-025-00920-4
MIT © 2025 Daniel Dimitrov, Stefan Schrod, Martin Rohbeck, Oliver Stegle
The authors’ work was supported through state funds approved by the State Parliament of Baden-Württemberg for the Innovation Campus Health + Life Science alliance Heidelberg Mannheim, the Data Science Collaborative Research Programme 2022 by the Novo Nordisk Foundation (grant NNF22OC0076414), and the European Research Council (Synergy Grant DECODE 810296). The authors also acknowledge funding from GSK through the EMBL-GSK collaboration framework (3000038350).