PROOF OF CONCEPT Multi-scale Numerical Invariants and Fractal Properties of the Genetic Code: A Combinatorial and Atomic Analysis using the Erythrocyte (Red Blood Cell) as an Ideal Mathematical Model for AI-Based Proteomic Analysis

Victoria Kayser-Cuny

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DOI
10.5281/zenodo.21003215
Published
2026
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BibTeX

@article{allodium:10.5281/zenodo.21003215,
  title = {PROOF OF CONCEPT Multi-scale Numerical Invariants and Fractal Properties of the Genetic Code: A Combinatorial and Atomic Analysis using the Erythrocyte (Red Blood Cell) as an Ideal Mathematical Model for AI-Based Proteomic Analysis},
  author = {Victoria Kayser-Cuny},
  year = {2026},
  doi = {10.5281/zenodo.21003215},
  url = {https://doi.org/10.5281/zenodo.21003215}
}

RIS

TY  - JOUR
TI  - PROOF OF CONCEPT Multi-scale Numerical Invariants and Fractal Properties of the Genetic Code: A Combinatorial and Atomic Analysis using the Erythrocyte (Red Blood Cell) as an Ideal Mathematical Model for AI-Based Proteomic Analysis
AU  - Victoria Kayser-Cuny
PY  - 2026
DO  - 10.5281/zenodo.21003215
UR  - https://doi.org/10.5281/zenodo.21003215
ER  - 

APA

Kayser-Cuny, V. (2026). PROOF OF CONCEPT Multi-scale Numerical Invariants and Fractal Properties of the Genetic Code: A Combinatorial and Atomic Analysis using the Erythrocyte (Red Blood Cell) as an Ideal Mathematical Model for AI-Based Proteomic Analysis. https://doi.org/10.5281/zenodo.21003215

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