# User:Nuri Purswani/NetworkReconstruction/algo1

### From OpenWetWare

**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.