000114966 001__ 114966
000114966 005__ 20190316234109.0
000114966 0247_ $$2doi$$a10.1111/j.1749-6632.2008.03944.x
000114966 02470 $$2ISI$$a000265650800019
000114966 037__ $$aARTICLE
000114966 245__ $$aReplaying the Evolutionary Tape: Biomimetic Reverse Engineering of Gene Networks
000114966 269__ $$a2009
000114966 260__ $$bBlackwell Publishing, 9600 Garsington Rd, Oxford Ox4 2Dq, Oxen, England$$c2009
000114966 336__ $$aJournal Articles
000114966 490__ $$aAnnals Of The New York Academy Of Sciences
000114966 520__ $$aIn this paper, we suggest a new approach for reverse engineering gene regulatory networks, which consists of using a reconstruction process that is similar to the evolutionary process that created these networks. The aim is to integrate prior knowledge into the reverse engineering procedure, thus biasing the search towards biologically plausible solutions. To this end, we propose an evolutionary method that abstracts and mimics the natural evolution of gene regulatory networks. Our method can be used with a wide range of nonlinear dynamical models. This allows us to explore novel model types such as the log-sigmoid model introduced here. To allow direct comparison with other methods, we use a benchmark dataset from an in vivo synthetic-biology gene network, which has been published as a reverse engineering challenge for the second DREAM conference.
000114966 6531_ $$aGene Regulatory Networks
000114966 6531_ $$aPrior Knowledge
000114966 6531_ $$aReverse
000114966 6531_ $$aEngineering
000114966 6531_ $$aSynthetic-biology Benchmark
000114966 6531_ $$aEvolutionary Robotics
000114966 700__ $$aMarbach, Daniel
000114966 700__ $$0241582$$aMattiussi, Claudio$$g140974
000114966 700__ $$0240742$$aFloreano, Dario$$g111729
000114966 773__ $$j1158$$q234-245$$tAnnals of the New York Academy of Sciences
000114966 8564_ $$s671562$$uhttps://infoscience.epfl.ch/record/114966/files/Marbach%202009%20Ann%20NY%20Acad%20Sci.pdf$$zn/a
000114966 909C0 $$0252161$$pLIS$$xU10370
000114966 909CO $$ooai:infoscience.tind.io:114966$$pSTI$$particle$$qGLOBAL_SET
000114966 917Z8 $$x255330
000114966 937__ $$aLIS-ARTICLE-2007-008
000114966 973__ $$aEPFL$$rREVIEWED$$sPUBLISHED
000114966 980__ $$aARTICLE