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Feel free to expand and scroll through the text boxes in order to further examine the code.

Deterministic Model
This code creates the differential equations governing the concentration dinamics of each protein in our model, finds the steady state solutions and then solves them using the numerical aproximation method Runge-Kutta

Metropolis-Hastings Algorithm
This code determines which set of values for missing parameters yield the most desirable response.

Sensitivity Analysis
This code points out which are the critical parameters in the system (those that change the response drastically).

Stochastic Model
Sometimes probabilistic models better describe certain systems, This required a fairly big amount of computational power

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