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Measurement variation determines the gene network topology reconstructed from experimental data: a case study of the yeast cyclin network

SYSNO ASEP	0351526
Document Type	J - Journal Article
R&D Document Type	Journal Article
Subsidiary J	Článek ve WOS
Title	Measurement variation determines the gene network topology reconstructed from experimental data: a case study of the yeast cyclin network
Author(s)	To, C. Ch. (VN) Vohradský, Jiří (MBU-M)_{RID, ORCID}
Source Title	FASEB Journal. - : Wiley - ISSN 0892-6638 Roč. 24, č. 9 (2010), s. 3468-3478
Number of pages	11 s.
Language	eng - English
Country	US - United States
Keywords	numerical modeling ; genetic programming ; cell-cycle
Subject RIV	EE - Microbiology, Virology
R&D Projects	GA310/07/1009 GA ČR - Czech Science Foundation (CSF)
CEZ	AV0Z50200510 - MBU-M (2005-2011)
UT WOS	000281446400034
DOI	10.1096/fj.10-160515
Annotation	Inference of the topology of gene regulatory networks from experimental data is one of the primary challenges of systems biology. In an example of a genetic network of cyclins in the yeast cell cycle, we analyzed static genome-wide location data together with microarray kinetic measurements using a recurrent neural network-based model of gene expression and a newly developed, unbiased algorithm based on evolutionary programming principles
Workplace	Institute of Microbiology
Contact	Eliška Spurná, eliska.spurna@biomed.cas.cz, Tel.: 241 062 231
Year of Publishing	2011

Number of the records: 1