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 Assumptions This method assumes [Necessary and sufficient conditions for biological network reconstruction]:
 * 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)
 * 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.