LoopDetectR
Comprehensive Feedback Loop Detection in ODE Models
Detect feedback loops (cycles, circuits) between species (nodes) in ordinary differential equation (ODE) models. Feedback loops are paths from a node to itself without visiting any other node twice, and they have important regulatory functions. Loops are reported with their order of participating nodes and their length, and whether the loop is a positive or a negative feedback loop. An upper limit of the number of feedback loops limits runtime (which scales with feedback loop count). Model parametrizations and values of the modelled variables are accounted for. Computation uses the characteristics of the Jacobian matrix as described e.g. in Thomas and Kaufman (2002)
- Version0.1.2
- R version≥ 4.0.0
- LicenseGPL-3
- Needs compilation?No
- Last release07/20/2020
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Team
Katharina Baum
Sandra Krüger
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- Depends1 package
- Imports2 packages
- Suggests6 packages