Inference of gene regulatory networks using genetic programming and Kalman filter
Created by W.Langdon from
gp-bibliography.bib Revision:1.8098
- @InProceedings{Wang:2006:GENSIPS,
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author = "Haixin Wang and Lijun Qian and Edward Dougherty",
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title = "Inference of gene regulatory networks using genetic
programming and Kalman filter",
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booktitle = "IEEE International Workshop on Genomic Signal
Processing and Statistics, GENSIPS '06",
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year = "2006",
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pages = "27--28",
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address = "College Station, TX, USA",
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month = may,
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keywords = "genetic algorithms, genetic programming",
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ISBN = "1-4244-0385-5",
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URL = "http://old.pvamu.edu/edir/lijun/files/papers/Qian-Gensips2006.pdf",
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DOI = "doi:10.1109/GENSIPS.2006.353139",
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size = "2 pages",
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abstract = "In this paper, gene regulatory networks are inferred
through evolutionary modelling and time-series
microarray measurements. A nonlinear differential
equation model is adopted and an iterative algorithm is
proposed to identify the model, where genetic
programming is applied to identify the structure of the
model and Kalman filtering is employed to estimate the
parameters in each iteration. Simulation results using
synthetic data and microarray measurements show the
effectiveness of the proposed scheme.",
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notes = "
",
- }
Genetic Programming entries for
Haixin Wang
Lijun Qian
Edward R Dougherty
Citations