Edward R. Dougherty is an American mathematician, electrical engineer, Robert M. Kennedy '26 Chair, and Distinguished Professor of Electrical Engineering at Texas A&M University. He is also the Scientific Director of the Center for Bioinformatics and Genomic Systems Engineering. Dougherty is a specialist in nonlinear image processing, small-sample classification problems, and modeling gene regulatory networks. He is the Fellow of IEEE and SPIE.
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| - إدوارد ر. دوغرتي (ar)
- Edward R. Dougherty (en)
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| - إدوارد ر. دوغرتي (بالإنجليزية: Edward R. Dougherty) هو رياضياتي أمريكي، ولد في 10 سبتمبر 1945 في نيوجيرسي في الولايات المتحدة. (ar)
- Edward R. Dougherty is an American mathematician, electrical engineer, Robert M. Kennedy '26 Chair, and Distinguished Professor of Electrical Engineering at Texas A&M University. He is also the Scientific Director of the Center for Bioinformatics and Genomic Systems Engineering. Dougherty is a specialist in nonlinear image processing, small-sample classification problems, and modeling gene regulatory networks. He is the Fellow of IEEE and SPIE. (en)
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| - Texas A&M University, since 1996, Rochester Institute of Technology,1988-1996, Fairleigh Dickinson University,1972-1988 (en)
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| - إدوارد ر. دوغرتي (بالإنجليزية: Edward R. Dougherty) هو رياضياتي أمريكي، ولد في 10 سبتمبر 1945 في نيوجيرسي في الولايات المتحدة. (ar)
- Edward R. Dougherty is an American mathematician, electrical engineer, Robert M. Kennedy '26 Chair, and Distinguished Professor of Electrical Engineering at Texas A&M University. He is also the Scientific Director of the Center for Bioinformatics and Genomic Systems Engineering. Dougherty is a specialist in nonlinear image processing, small-sample classification problems, and modeling gene regulatory networks. He is the Fellow of IEEE and SPIE. Dougherty is the author of 16 books, whose topics range from basic probability books to advanced computational biology and genomic systems engineering. He proposed the Probabilistic Boolean Network (PBN) model for gene regulatory networks. PBNs have been extensively used for intervention and classification in genomic problems. He has also introduced the notion of Bolstered Error Estimation and Coefficient of Determination for Nonlinear Signal Processing. (en)
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