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Network reconstruction using knock-out and over-expression data
Hayden, David; Yuan, Ye; Goncalves, Jorge
2013In The proceedings of the 2013 European Control Conference (ECC)
Peer reviewed
 

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Abstract :
[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.
Disciplines :
Engineering, computing & technology: Multidisciplinary, general & others
Author, co-author :
Hayden, David
Yuan, Ye
Goncalves, Jorge ;  University of Luxembourg > Luxembourg Centre for Systems Biomedicine (LCSB)
Language :
English
Title :
Network reconstruction using knock-out and over-expression data
Publication date :
2013
Event name :
2013 European Control Conference (ECC)
Event place :
Zürich, Switzerland
Event date :
July 17-19, 2013
Main work title :
The proceedings of the 2013 European Control Conference (ECC)
Publisher :
IEEE
Pages :
3627 - 3632
Peer reviewed :
Peer reviewed
Available on ORBilu :
since 10 March 2015

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