5 June 2002 Reverse engineering of genetic networks through multicriterion optimization
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Proceedings Volume 4623, Functional Monitoring and Drug-Tissue Interaction; (2002) https://doi.org/10.1117/12.469464
Event: International Symposium on Biomedical Optics, 2002, San Jose, CA, United States
A major problem associated with the reverse engineering of genetic networks from micro-array data is how to reliably find genetic interactions when faced with a relatively small number of arrays compared to the number of genes. To cope with this dimensionality problem, it is imperative to employ additional (biological) knowledge about genetic networks, such as limited connectivity, redundancy, stability and robustness, to sensibly constrain the modeling process. Recently, we have shown that by applying single criteria, the inference of genetic interactions under realistic conditions can be significantly improved. In this paper, we study the problem of how to combine constraints by formulating it as a multi-criterion optimization problem.
© (2002) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Eugene P. van Someren, Eugene P. van Someren, Lodewyk F. A. Wessels, Lodewyk F. A. Wessels, Marcel J. T. Reinders, Marcel J. T. Reinders, Eric Backer, Eric Backer, } "Reverse engineering of genetic networks through multicriterion optimization", Proc. SPIE 4623, Functional Monitoring and Drug-Tissue Interaction, (5 June 2002); doi: 10.1117/12.469464; https://doi.org/10.1117/12.469464

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