User:Nuri Purswani/NetworkReconstruction/algo1

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.