Yazdjer2019 - reinforcement learning-based control of tumor growth under anti-angiogenic therapy
Number of species: 3
Number of parameters: 9
Number of irreversible reactions: 7
Number of reversible reactions: 0
Deficiency: 0
Rational: No
Polynomial: No
Mass-action: No
Species name mapping: [Text]
Parameter name mapping: [Text]
Reaction network: [Text]
Number of reactions: 7
Stoichiometric matrix: [LaTeX] [Maple] [Reduce] [SageMath] Rank: 3
Reconfigured reaction network: [Text]
Number of reactions (reconfigured): 7
Reconfigured stoichiometric matrix: [LaTeX] [Maple] [Reduce] [SageMath] Rank: 3
Kinetic matrix: [LaTeX] [Maple] [Reduce] [SageMath]
ODEs: [LaTeX] [Maple] [Reduce] [SageMath]
Constraints: [LaTeX] [Maple] [Reduce] [SageMath]
Parameter values: [LaTeX] [Maple] [Reduce] [SageMath]