Bounded Drivers in Immune Geometry: Supplementary Data and Analysis

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Authors: Elkin Alejandro Blanco Navarro
Cited by: 0

Abstract

This dataset contains supplementary data and analysis for the research on bounded drivers in immune geometry. The analysis focuses on identifying critical parameters that control immune system organization and dynamics in different immune states. The supplementary file TableS2_ALL_runs.tsv contains comprehensive analysis results including mutual information (MI) measurements across multiple immune states, phase transition indicators, and bounded driver identification using geometric methods. Key analysis components:- Immune state characterization using single-cell transcriptomics- Critical phenomena detection and analysis- Bounded driver identification through mutual information calculations- Geometric constraints on immune system dynamics- Phase transition analysis in immune populations This data supports research on systems immunology and complex biological phenomena in immune system evolution and adaptation.

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
8 January 2026
Document type
Dataset