Quick Start =========== This page is the shortest path from installation to a real REVISE run. Use it when you already know which route you want; use :doc:`concepts` first if you need to choose between sp-SVC and sc-SVC. Install ------- .. code-block:: bash pip install revise-svc Optional annotation support installs ``tacco``: .. code-block:: bash pip install "revise-svc[annotation]" For source-tree development: .. code-block:: bash git clone https://github.com/wuys13/REVISE.git cd REVISE pip install -e ".[dev]" Download Data ------------- Download Sim2Real-ST benchmark data, generated results, and real application data from `Zenodo `_. Place inputs under ``raw_data/``: .. code-block:: text raw_data/ |-- Sim2Real-ST/ `-- Real_application/ Run sp-SVC for hST ------------------ Use this route for high-definition spatial refinement, such as Visium HD-style data with bin-to-cell uncertainty. .. code-block:: bash python application_sp_SVC_recon.py \ --raw_data_path raw_data/Real_application \ --sample_name P1CRC \ --st_file HD.h5ad \ --sc_ref_file adata_sc_all_reanno.h5ad Expected published output: .. code-block:: text output/sp_SVC_case/P1CRC/sp_SVC.h5ad Run sc-SVC for iST ------------------ Use this route for Xenium-style data when the goal is selected-cell-type molecular completion and downstream biological analysis. .. code-block:: bash python application_sc_SVC_recon.py \ --sample_name P2CRC \ --data_type Xenium \ --raw_data_path raw_data/Real_application \ --sc_ref_file adata_sc_all_reanno.h5ad \ --select_ct T Expected published outputs: .. code-block:: text output/sc_SVC_case/P2CRC_Xenium/T/sc_SVC_expr.h5ad output/sc_SVC_case/P2CRC_Xenium/T/sc_SVC_spatial.h5ad Run a Benchmark Case -------------------- Use this route to reproduce one Sim2Real-ST confounding-factor family and write per-gene normalized metrics. .. code-block:: bash python benchmark_main.py \ --cf segmentation \ --raw_data_path raw_data/Sim2Real-ST \ --sample_name P2CRC/cut_part1 \ --task segmentation \ --save_path output/benchmark Expected metric file: .. code-block:: text output/benchmark/segmentation/P2CRC/cut_part1/sim2real-segmentation//metrics_normalized.csv To launch the full Sim2Real-ST benchmark set across all supported confounding factors and all three published P2CRC parts: .. code-block:: bash SAMPLE_PARTS="part1 part2 part3" \ SAVE_PATH=results_unified/benchmark_runs/sim2real_all \ bash benchmark_main.sh The task-specific scripts in ``reproduce/benchmark/`` accept the same ``RAW_DATA_PATH``, ``SAMPLE_PATIENT``, ``SAMPLE_PARTS``, ``CONFIG_PATH``, and ``SAVE_PATH`` environment variables, so they can be used to reproduce one benchmark family at a time while keeping the output layout identical. Use the Python API ------------------ Root wrapper scripts and notebooks ultimately route through ``REVISEPipeline.run``. Calling the API directly is useful for custom IO roots, dry runs, and programmatic workflows. .. code-block:: python from revise.framework import REVISEPipeline pipeline = REVISEPipeline() svc = pipeline.run( profile="application_sc", io_overrides={ "data_root": "raw_data/Real_application", "output_root": "output/sc_SVC_case", "sample_name": "P2CRC", "st_file": "Xenium.h5ad", "sc_ref_file": "adata_sc_all_reanno.h5ad", "patient_key": "Patient", }, set_overrides=["sc.select_ct=T"], ) Validate a Development Checkout ------------------------------- Run the smallest structural check first, then choose the benchmark or regression command that matches the files you changed. .. code-block:: bash python revise/validate_refactor.py python revise/validate_all_benchmarks.py --sample-size 800 python revise/validate_full_regression.py --output-root results_unified/full_regression_latest cd docs && make html Next Steps ---------- - For mode-specific details, see :doc:`case` and :doc:`benchmark`. - For profile and override rules, see :doc:`configuration`. - For strategy and plugin extension points, see :doc:`architecture`.