Bianca2013 - Persistence analysis in a Kolmogorov-type model for cancer-immune system competition Lab
About lab
Bianca2013 - Persistence analysis in a Kolmogorov-type model for cancer-immune system competition Lab
Curated immunology lab using the bundled source model as the scientific source of truth.
What You'll See
This captured run documents the default Bianca2013 - Persistence analysis in a Kolmogorov-type model for cancer-immune system competition configuration for 10.0 time units with a 1.0 communication step. Default inputs include Initial Unresolved Tumor Observable 1, Initial Unresolved Tumor Observable 2, and Initial Unresolved Tumor Observable 3. Reported outputs include unresolved_tumor_observable_1, unresolved_tumor_observable_2, unresolved_tumor_observable_3, and state. The screenshots below pair the run-interpretation table with Tumor-immune burden and Largest state excursions so the README shows both trajectories and the strongest state changes from the same dark-mode run.
Output Visualizations
The run-interpretation table summarizes the configured Bianca2013 - Persistence analysis in a Kolmogorov-type model for cancer-immune system competition simulation and its final-state diagnostics.
The Tumor-immune burden time series follows the selected immune, pathogen, tumor, or signaling quantities across the simulated horizon.
The largest state excursions chart ranks the state variables that moved furthest during the run.
Persistence analysis in a Kolmogorov-type model for cancer-immune system competitionAIP Conference Proceedings 1558, 1797 (2013); https://doi.org/10.1063/1.4825874C. It can be used to explore immune response dynamics and compare pathway-level behavior across conditions.
Runtime
Runs
Metadata
Manifest
{
"io": {
"inputs": [
{
"name": "initial_unresolved_tumor_observable_1",
"label": "Initial Unresolved Tumor Observable 1",
"units": "native source value",
"default": 1,
"maps_to": "immunology_sbml_bianca2013_persistence_analysis_in_a_kolmogorov_biomd0000000900_model.initial_unresolved_tumor_observable_1",
"description": "Initial Unresolved Tumor Observable 1. Sets the initial value of bundled SBML species `C`."
},
{
"name": "initial_unresolved_tumor_observable_2",
"label": "Initial Unresolved Tumor Observable 2",
"units": "native source value",
"default": 1,
"maps_to": "immunology_sbml_bianca2013_persistence_analysis_in_a_kolmogorov_biomd0000000900_model.initial_unresolved_tumor_observable_2",
"description": "Initial Unresolved Tumor Observable 2. Sets the initial value of bundled SBML species `B`."
},
{
"name": "initial_unresolved_tumor_observable_3",
"label": "Initial Unresolved Tumor Observable 3",
"units": "native source value",
"default": 1,
"maps_to": "immunology_sbml_bianca2013_persistence_analysis_in_a_kolmogorov_biomd0000000900_model.initial_unresolved_tumor_observable_3",
"description": "Initial Unresolved Tumor Observable 3. Sets the initial value of bundled SBML species `T`."
}
],
"outputs": [
{
"name": "unresolved_tumor_observable_1",
"maps_to": "immunology_sbml_bianca2013_persistence_analysis_in_a_kolmogorov_biomd0000000900_model.unresolved_tumor_observable_1"
},
{
"name": "unresolved_tumor_observable_2",
"maps_to": "immunology_sbml_bianca2013_persistence_analysis_in_a_kolmogorov_biomd0000000900_model.unresolved_tumor_observable_2"
},
{
"name": "unresolved_tumor_observable_3",
"maps_to": "immunology_sbml_bianca2013_persistence_analysis_in_a_kolmogorov_biomd0000000900_model.unresolved_tumor_observable_3"
},
{
"name": "state",
"maps_to": "immunology_sbml_bianca2013_persistence_analysis_in_a_kolmogorov_biomd0000000900_model.state"
},
{
"name": "summary",
"maps_to": "immunology_sbml_bianca2013_persistence_analysis_in_a_kolmogorov_biomd0000000900_model.summary"
},
{
"name": "species_labels",
"maps_to": "immunology_sbml_bianca2013_persistence_analysis_in_a_kolmogorov_biomd0000000900_model.species_labels"
}
]
},
"title": "Bianca2013 - Persistence analysis in a Kolmogorov-type model for cancer-immune system competition Lab",
"models": [
{
"path": "owned/models/immunology_sbml_bianca2013_persistence_analysis_in_a_kolmogorov_biomd0000000900_model",
"alias": "immunology_sbml_bianca2013_persistence_analysis_in_a_kolmogorov_biomd0000000900_model",
"provenance": {
"owned_path": "owned/models/immunology_sbml_bianca2013_persistence_analysis_in_a_kolmogorov_biomd0000000900_model"
}
},
{
"path": "owned/models/visualisation",
"alias": "visualisation",
"provenance": {
"owned_path": "owned/models/visualisation"
}
}
],
"wiring": [
{
"to": [
"visualisation.immunology_sbml_bianca2013_persistence_analysis_in_a_kolmogorov_biomd0000000900_model_state"
],
"from": "immunology_sbml_bianca2013_persistence_analysis_in_a_kolmogorov_biomd0000000900_model.state"
},
{
"to": [
"visualisation.immunology_sbml_bianca2013_persistence_analysis_in_a_kolmogorov_biomd0000000900_model_summary"
],
"from": "immunology_sbml_bianca2013_persistence_analysis_in_a_kolmogorov_biomd0000000900_model.summary"
},
{
"to": [
"visualisation.immunology_sbml_bianca2013_persistence_analysis_in_a_kolmogorov_biomd0000000900_model_species_labels"
],
"from": "immunology_sbml_bianca2013_persistence_analysis_in_a_kolmogorov_biomd0000000900_model.species_labels"
}
],
"runtime": {
"duration": 10,
"initial_inputs": {},
"communication_step": 1
},
"description": "Persistence analysis in a Kolmogorov-type model for cancer-immune system competitionAIP Conference Proceedings 1558, 1797 (2013); https://doi.org/10.1063/1.4825874C. It can be used to explore immune response dynamics and compare pathway-level behavior across conditions.",
"schema_version": "2.0"
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