User:Nuri Purswani/NetworkReconstruction/algo1

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Algorithm 1
Relevant Theory

Any given network can be described using a State Space Representation:

Description

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Inputs

This algorithm can cope with:

  • Steady State measurements
  • Time Series measurements
  • Noise
  • NonLinearities
Outputs
  • When fed with steady states, it returns the boolean structure of the network.
  • When fed with time series data, it can recover the dynamical structure function (explain this)
Assumptions

This method assumes [Necessary and sufficient conditions for biological network reconstruction]:

  • That the biological systems are linear and time invariant
  • Direct identification of input and output data doesnt allow the reconstruction of network structure when hidden and unobservable states are not present.