Network reconstruction using knock-out and over-expression data

Reference : Network reconstruction using knock-out and over-expression data


	Document type :	Scientific congresses, symposiums and conference proceedings : Paper published in a book
	Discipline(s) :	Engineering, computing & technology : Multidisciplinary, general & others
	To cite this reference:	http://hdl.handle.net/10993/20335

Title :	Network reconstruction using knock-out and over-expression data
Language :	English
Author, co-author :	Hayden, David []
	Yuan, Ye []
	Goncalves, Jorge [University of Luxembourg > Luxembourg Centre for Systems Biomedicine (LCSB) > >]
Publication date :	2013
Main document title :	The proceedings of the 2013 European Control Conference (ECC)
Publisher :	IEEE
Pages :	3627 - 3632
Peer reviewed :	Yes
Event name :	2013 European Control Conference (ECC)
Event date :	July 17-19, 2013
Event place (city) :	Zürich
Event country :	Switzerland
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.
Permalink :	http://hdl.handle.net/10993/20335

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