Data · dataset · 2026
Reproducibility package for: Constructive Parameter Fibers and Minimal Outputs for Mammillary Compartment Models
Listed in Teesside University Research Data Repository
Reproducibility package for the paper “Constructive Parameter Fibers and Minimal Outputs for Mammillary Compartment Models” (Guiying Lyu, Hongyu Cao, Ahmad Yahya Dawod).
Description
This archive contains all Python/Anaconda source code, exact computational certificates, generated data, and figures that support the manuscript. No empirical or patient data are included.
The computations serve as reproducibility and falsification checks; the mathematical proofs in the paper are independent of the code. The package verifies: • closed-form input–output polynomials; • explicit one-output rational parameter fibers; • multi-output constructive inverse maps and permutation ambiguity; • predicted finite-field Jacobian ranks; • exact small-n (n = 4,5,6) forward/reverse fiber coverage and collision limits; • the six-compartment in-silico tracer example (liver, kidney, muscle, adipose) together with its two figures.
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A total of 241 algebraic and Jacobian-rank checks are reported in the manuscript; three additional exact statements support the biological illustration. All algebraic checks use exact rational arithmetic or finite fields. Floating-point arithmetic is used only for trajectory visualization.
How to reproduce: conda env create -f environment.yml conda activate jca-mammillary python run_certificate.py Alternatively: python -m venv .venv python -m pip install -r requirements.txt python run_certificate.py Successful completion is indicated by “all_checks_passed”: true in output/data/computational_certificate.json. The full suite normally finishes in a few seconds on a standard CPU and requires no proprietary computer-algebra system, GPU, network access, or external data.
Licenses: source code under MIT; data, certificates, figures and documentation under CC BY 4.0.
Links
Where it is published
- DOI doi.org/10.17632/6vjy4wjsr6.1 ↗
DOI / persistent id · from researchdata tees ac uk
Catalogue records · 1
- OAI-PMH record data.mendeley.com/oai?verb=GetRecord&metadataPrefix=oai_dc&identifier=oai%3Adata… ↗
metadata API · from researchdata tees ac uk
Topics
Provenance · 1 source records, 12 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| Teesside University Research Data Repository | oai:data.mendeley.com/6vjy4wjsr6.1 | 9 h ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].anzsrc:field:310114 | mapping · researchdata tees ac uk | vocabulary-mapper@1.0.0 | keywords['Systems Biology'] |
| concepts[field].anzsrc:group:4901 | mapping · researchdata tees ac uk | vocabulary-mapper@1.0.0 | keywords['Applied Mathematics'] |
| concepts[field].anzsrc:group:4903 | mapping · researchdata tees ac uk | vocabulary-mapper@1.0.0 | keywords['Computational Mathematics'] |
| concepts[field].local:field:computer-science-ai | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:earth-environmental | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:life-sciences | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:mathematics-statistics | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| description | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | /metadata/dc/description |
| license | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | /metadata/dc/rights |
| publication_date | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| title | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | /metadata/dc/title |