Reference : Network reconstruction using knock-out and over-expression data
Scientific congresses, symposiums and conference proceedings : Paper published in a book
Engineering, computing & technology : Multidisciplinary, general & others
http://hdl.handle.net/10993/20335
Network reconstruction using knock-out and over-expression data
English
Hayden, David []
Yuan, Ye mailto []
Goncalves, Jorge mailto [University of Luxembourg > Luxembourg Centre for Systems Biomedicine (LCSB) > >]
2013
The proceedings of the 2013 European Control Conference (ECC)
IEEE
3627 - 3632
Yes
2013 European Control Conference (ECC)
July 17-19, 2013
Z├╝rich
Switzerland
[en] 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.
http://hdl.handle.net/10993/20335

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