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The role of discretization in modeling signal transduction networks

David J. John Computer Science Wake Forest Leslie Poole Biochemistry Wake Forest School of Medicine. Edward E. Allen Mathematics Wake Forest Richard Loeser Molecular Medicine Wake Forest School of Medicine. The role of discretization in modeling signal transduction networks.

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The role of discretization in modeling signal transduction networks

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  1. David J. JohnComputer ScienceWake Forest Leslie PooleBiochemistryWake Forest School of Medicine Edward E. AllenMathematicsWake Forest Richard LoeserMolecular MedicineWake Forest School of Medicine The role of discretization in modeling signal transduction networks Jacquelyn S. FetrowComputer Science & PhysicsWake Forest Wake Forest

  2. Proteomic Modification Modeling using Computational Algebra and Game Theory • Time series data of protein modifications (number of time points is small) • Cotemporal relationships • LaGrange interpolation over a finite field • Simplification of polynomials via Groebner Basis • Determination of influences via Deegan-Packel index of power • Allen et al, Algebraic dependency models of protein signal transduction networks from time-series data, JTB, 238 (2006), 317-330. Wake Forest

  3. Chondrocyte Data Wake Forest

  4. Chondrocyte DiscretizationsAbove/Below Mean, Chi Merge 3, Kmeans 3, Kmedoids 3 Wake Forest

  5. Chondrocyte Cotemporal Model Wake Forest

  6. Thanks This work is supported by the NSF-NIGMS Program in Mathematical Biology through a grant, NIH R01-GM075304. Wake Forest

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