Edward R. Dougherty

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. Provided by Wikipedia
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  1. 1
    On the Number of Close-to-Optimal Feature Sets

    On the Number of Close-to-Optimal Feature Sets by Edward R. Dougherty, Marcel Brun

    Published 2006-01-01
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  2. 2
    Newton, Laplace, and the Epistemology of Systems Biology

    Newton, Laplace, and the Epistemology of Systems Biology by Michael L. Bittner, Edward R. Dougherty

    Published 2012-01-01
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  3. 3
    Quantifying the Multi-Objective Cost of Uncertainty

    Quantifying the Multi-Objective Cost of Uncertainty by Byung-Jun Yoon, Xiaoning Qian, Edward R. Dougherty

    Published 2021-01-01
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  4. 4
    Evaluating Gene Set Enrichment Analysis Via a Hybrid Data Model

    Evaluating Gene Set Enrichment Analysis Via a Hybrid Data Model by Jianping Hua, Michael L. Bittner, Edward R. Dougherty

    Published 2014-02-01
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  5. 5
    Optimal clustering under uncertainty.

    Optimal clustering under uncertainty. by Lori A Dalton, Marco E Benalcázar, Edward R Dougherty

    Published 2018-01-01
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  6. 6
    Optimal clustering with missing values

    Optimal clustering with missing values by Shahin Boluki, Siamak Zamani Dadaneh, Xiaoning Qian, Edward R. Dougherty

    Published 2019-06-01
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  7. 7
    Incorporating biological prior knowledge for Bayesian learning via maximal knowledge-driven information priors

    Incorporating biological prior knowledge for Bayesian learning via maximal knowledge-driven information priors by Shahin Boluki, Mohammad Shahrokh Esfahani, Xiaoning Qian, Edward R Dougherty

    Published 2017-12-01
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  8. 8
    A Systems Biology Approach in Therapeutic Response Study for Different Dosing Regimens—a Modeling Study of Drug Effects on Tumor Growth using Hybrid Systems

    A Systems Biology Approach in Therapeutic Response Study for Different Dosing Regimens—a Modeling Study of Drug Effects on Tumor Growth using Hybrid Systems by Xiangfang Li, Lijun Qian, Michale L. Bittner, Edward R. Dougherty

    Published 2012-01-01
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  9. 9
    Characterization of the Effectiveness of Reporting Lists of Small Feature Sets Relative to the Accuracy of the Prior Biological Knowledge

    Characterization of the Effectiveness of Reporting Lists of Small Feature Sets Relative to the Accuracy of the Prior Biological Knowledge by Chen Zhao, Michael L. Bittner, Robert S. Chapkin, Edward R. Dougherty

    Published 2010-03-01
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  10. 10
    A Systems Biology Approach in Therapeutic Response Study for Different Dosing Regimens—a Modeling Study of Drug Effects on Tumor Growth using Hybrid Systems

    A Systems Biology Approach in Therapeutic Response Study for Different Dosing Regimens—a Modeling Study of Drug Effects on Tumor Growth using Hybrid Systems by Xiangfang Li, Lijun Qian, Michale L. Bittner, Edward R. Dougherty

    Published 2012-02-01
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  11. 11
    Characterization of the Effectiveness of Reporting Lists of Small Feature Sets Relative to the Accuracy of the Prior Biological Knowledge

    Characterization of the Effectiveness of Reporting Lists of Small Feature Sets Relative to the Accuracy of the Prior Biological Knowledge by Chen Zhao, Michael L. Bittner, Robert S. Chapkin, Edward R. Dougherty

    Published 2010-01-01
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  12. 12
    Guest Editorial—Special Collection Topic: Statistical Systems Theory in Cancer Modeling, Diagnosis, and Therapy

    Guest Editorial—Special Collection Topic: Statistical Systems Theory in Cancer Modeling, Diagnosis, and Therapy by Edward R Dougherty, Anne-Laure Boulesteix, Lori A Dalton, Michelle Zhang

    Published 2018-03-01
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  13. 13
    Sequential Experimental Design for Optimal Structural Intervention in Gene Regulatory Networks Based on the Mean Objective Cost of Uncertainty

    Sequential Experimental Design for Optimal Structural Intervention in Gene Regulatory Networks Based on the Mean Objective Cost of Uncertainty by Mahdi Imani, Roozbeh Dehghannasiri, Ulisses M Braga-Neto, Edward R Dougherty

    Published 2018-08-01
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  14. 14
    Integrating Multiscale Modeling with Drug Effects for Cancer Treatment

    Integrating Multiscale Modeling with Drug Effects for Cancer Treatment by Xiangfang L. Li, Wasiu O. Oduola, Lijun Qian, Edward R. Dougherty

    Published 2016-01-01
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  15. 15
    Integrating Multiscale Modeling with Drug Effects for Cancer Treatment

    Integrating Multiscale Modeling with Drug Effects for Cancer Treatment by Xiangfang L. Li, Wasiu O. Oduola, Lijun Qian, Edward R. Dougherty

    Published 2015-01-01
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  16. 16
    Probabilistic boolean networks predict transcription factor targets to induce transdifferentiation

    Probabilistic boolean networks predict transcription factor targets to induce transdifferentiation by Bahar Tercan, Boris Aguilar, Sui Huang, Edward R. Dougherty, Ilya Shmulevich

    Published 2022-09-01
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  17. 17
    Phenotype Classification Using Moment Features of Single-Cell Data

    Phenotype Classification Using Moment Features of Single-Cell Data by Chao Sima, Jianping Hua, Michael L Bittner, Seungchan Kim, Edward R Dougherty

    Published 2018-04-01
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  18. 18
    Scalable optimal Bayesian classification of single-cell trajectories under regulatory model uncertainty

    Scalable optimal Bayesian classification of single-cell trajectories under regulatory model uncertainty by Ehsan Hajiramezanali, Mahdi Imani, Ulisses Braga-Neto, Xiaoning Qian, Edward R. Dougherty

    Published 2019-06-01
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  19. 19
    Knowledge-driven learning, optimization, and experimental design under uncertainty for materials discovery

    Knowledge-driven learning, optimization, and experimental design under uncertainty for materials discovery by Xiaoning Qian, Byung-Jun Yoon, Raymundo Arróyave, Xiaofeng Qian, Edward R. Dougherty

    Published 2023-11-01
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  20. 20
    Synthetic data for design and evaluation of binary classifiers in the context of Bayesian transfer learning

    Synthetic data for design and evaluation of binary classifiers in the context of Bayesian transfer learning by Omar Maddouri, Xiaoning Qian, Francis J. Alexander, Edward R. Dougherty, Byung-Jun Yoon

    Published 2022-06-01
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