TargetIntel-IO v0.1.3 — End-to-end CLI and portfolio refresh
TargetIntel-IO v0.1.3
This release improves the usability and portfolio presentation of TargetIntel-IO by introducing a complete command-line workflow.
End-to-end command-line interface
The full target-triage workflow can now be executed with:
targetintel run
This generates:
- the processed target feature table;
- therapeutic-intent-aware rankings;
- Markdown hypothesis cards;
- browsable HTML reports;
- summary figures and rank-shift visualizations.
The complete internal validation workflow is available through:
targetintel run --validate
This additionally runs:
- the curated 56-target benchmark;
- the augmented 331-target benchmark universe;
- the 42-scenario scoring-weight sensitivity analysis;
- the annotated sensitivity heatmap.
Additional options include:
targetintel run --refreshtargetintel run --help
Portfolio and documentation improvements
- Reorganized the main README around the problem, outputs, quick start, CLI, validation results, limitations, and reproducibility.
- Removed duplicated and obsolete prototype documentation.
- Added direct links to versioned reports, figures, benchmark outputs, and sensitivity results.
- Added README regression tests.
Repository cleanup
Removed obsolete prototype artifacts:
scripts/01_target_prioritization_mvp.pyscripts/02_plot_top_targets.pyfigures/test.png
The reusable stage-specific scripts and all versioned figures under examples/figures/ remain available.
Validation status
Current internal benchmark results:
- 56/56 benchmark targets evaluated;
- 91.07% strict primary-intent accuracy;
- 100% acceptable-intent accuracy;
- 90.57% cross-intent specificity;
- 58.10% mean top-10 recall;
- 79.46% mean top-20 recall.
The repository includes 92 passing unit, integration, and regression tests.
Scope
TargetIntel-IO remains an internal rule-based hypothesis-generation and target-triage framework for anti-PD-1-resistant melanoma. Its benchmark is internally curated and does not constitute independent biological or clinical validation.
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