Hayden, D and Yuan, Y and Goncalves, J (2013) Network reconstruction using knock-out and over-expression data. 2013 European Control Conference, ECC 2013. pp. 3627-3632.Full text not available from this repository.
This paper outlines necessary and sufficient conditions for network reconstruction of linear, time-invariant systems using data from either knock-out or over-expression experiments. These structural system perturbations, which are common in biological experiments, can be formulated as unknown system inputs, allowing the network topology and dynamics to be found. We assume that only partial state measurements are available and propose an algorithm that can reconstruct the network at the level of the measured states using either time-series or steady-state data. A simulated example illustrates how the algorithm successfully reconstructs a network from data. © 2013 EUCA.
|Divisions:||Div F > Control|
|Depositing User:||Unnamed user with email firstname.lastname@example.org|
|Date Deposited:||15 Dec 2015 13:17|
|Last Modified:||08 Feb 2016 00:49|