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

0351526 - MBÚ 2011 RIV US eng J - Journal Article
To, C. Ch. - Vohradský, Jiří
Measurement variation determines the gene network topology reconstructed from experimental data: a case study of the yeast cyclin network.
FASEB Journal. Roč. 24, č. 9 (2010), s. 3468-3478. ISSN 0892-6638. E-ISSN 1530-6860
R&D Projects: GA ČR GA310/07/1009
Institutional research plan: CEZ:AV0Z50200510
Keywords : numerical modeling * genetic programming * cell-cycle
Subject RIV: EE - Microbiology, Virology
Impact factor: 6.515, year: 2010

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
Permanent Link: http://hdl.handle.net/11104/0191261