World's Best Scientists 2026 revealed!
Edward R. Dougherty

Edward R. Dougherty

D-Index & Metrics

Computer Science

D-Index
86
Citations
33303
World Ranking
764
National Ranking
409

Research.com Recognitions

  • 2012 - IEEE Fellow For contributions to the development of genomic signal processing
  • 2000 - SPIE Fellow

Overview

Edward R. Dougherty is affiliated with Texas A&M University in the United States. Their research spans multiple disciplines, primarily within computer science and biochemistry, genetics, and molecular biology. Dougherty's work frequently addresses topics at the intersection of computational methods and biological systems.

The main fields of study include:

  • Computer Science
  • Biochemistry, Genetics and Molecular Biology

Subfields of study Dougherty engages in are:

  • Molecular Biology
  • Artificial Intelligence
  • Control and Systems Engineering
  • Computational Theory and Mathematics
  • Statistics and Probability

Their primary research topics encompass:

  • Gene Regulatory Network Analysis
  • Microbial Metabolic Engineering and Bioproduction
  • Gaussian Processes and Bayesian Inference
  • Domain Adaptation and Few-Shot Learning
  • Bioinformatics and Genomic Networks
  • Computational Drug Discovery Methods
  • Neural Networks and Applications

Dougherty has published extensively, with recent notable papers including:

  • "Model-Based Robust Filtering and Experimental Design for Stochastic Differential Equation Systems," 2020, IEEE Transactions on Signal Processing
  • "Quantifying the Multi-Objective Cost of Uncertainty," 2021, IEEE Access
  • "Knowledge-driven learning, optimization, and experimental design under uncertainty for materials discovery," 2023, Patterns
  • "TRIMER: Transcription Regulation Integrated with Metabolic Regulation," 2021, iScience
  • "Optimal decision-making in high-throughput virtual screening pipelines," 2023, Patterns

The research outputs have appeared in several venues multiple times, including:

  • Patterns
  • arXiv (Cornell University)
  • IEEE Transactions on Signal Processing
  • iScience
  • bioRxiv (Cold Spring Harbor Laboratory)

Frequent collaborators of Dougherty include:

  • Xiaoning Qian
  • Byung-Jun Yoon
  • Francis J. Alexander
  • Lori A. Dalton
  • Puhua Niu

In addition to journal and conference publications, Dougherty has contributed to book literature. This includes the publication titled Optimal Bayesian Classification through SPIE in 2020.

Recognition for Dougherty's work includes awards such as:

  • IEEE Fellow, awarded in 2012, for contributions to the development of genomic signal processing
  • SPIE Fellow, awarded in 2000

Best Publications

  • Molecular classification of cutaneous malignant melanoma by gene expression profiling

    M. Bittner;P.S.J. Meltzer;Y.D. Chen;Y. Jiang

  • Probabilistic Boolean networks: a rule-based uncertainty model for gene regulatory networks

    Ilya Shmulevich;Edward R. Dougherty;Seungchan Kim;Wei Zhang

  • Ratio-based decisions and the quantitative analysis of cDNA micro-array images

    Yidong Chen;Edward R. Dougherty;Michael L. Bittner

  • Hands-on Morphological Image Processing

    Edward R. Dougherty;Roberto A. Lotufo

  • Morphological methods in image and signal processing

    Charles R. Giardina;Edward R. Dougherty

  • An introduction to morphological image processing

    Edward R. Dougherty

  • Is cross-validation valid for small-sample microarray classification?

    Ulisses M. Braga-Neto;Edward R. Dougherty

  • From Boolean to probabilistic Boolean networks as models of genetic regulatory networks

    I. Shmulevich;E.R. Dougherty;Wei Zhang

  • Optimal number of features as a function of sample size for various classification rules

    Jianping Hua;Zixiang Xiong;James Lowey;Edward Suh

  • Mathematical Morphology in Image Processing

    Edward R. Dougherty

  • Performance of feature-selection methods in the classification of high-dimension data

    Jianping Hua;Waibhav D. Tembe;Edward R. Dougherty

  • Gene selection: a Bayesian variable selection approach

    Kyeong Eun Lee;Naijun Sha;Edward R. Dougherty;Marina Vannucci

  • Small-sample precision of ROC-related estimates

    Blaise Hanczar;Jianping Hua;Chao Sima;John Weinstein

  • Gene perturbation and intervention in probabilistic Boolean networks.

    Ilya Shmulevich;Edward R. Dougherty;Wei Zhang

  • Fuzzification of set inclusion: theory and applications

    Divyendu Sinha;Edward R. Dougherty

  • Probability and Statistics for the Engineering, Computing and Physical Sciences

    Edward R. Dougherty

  • Model-based evaluation of clustering validation measures

    Marcel Brun;Chao Sima;Jianping Hua;James Lowey

  • External Control in Markovian Genetic Regulatory Networks

    Aniruddha Datta;Ashish Choudhary;Michael L. Bittner;Edward R. Dougherty

  • Optimal infinite-horizon control for probabilistic Boolean networks

    R. Pal;A. Datta;E.R. Dougherty

  • Evolving feature selection

    H. Liu;E.R. Dougherty;J.G. Dy;K. Torkkola

  • Molecular classification of cutaneous malignant melanoma by gene expression profiling

    M. Bittner;P. Meltzer;Y. Chen;Y. Jiang

Frequent Co-Authors

Aniruddha Datta
Aniruddha Datta Texas A&M University
Ulisses M. Braga-Neto
Ulisses M. Braga-Neto Texas A&M University
Robert P. Loce
Robert P. Loce Datto, Inc.
Lijun Qian
Lijun Qian Prairie View A&M University
Jeffrey M. Trent
Jeffrey M. Trent Translational Genomics Research Institute
Erchin Serpedin
Erchin Serpedin Texas A&M University
Jaakko Astola
Jaakko Astola Tampere University
Robert S. Chapkin
Robert S. Chapkin Texas A&M University
Paul S. Meltzer
Paul S. Meltzer National Institutes of Health
Xiaobo Zhou
Xiaobo Zhou The University of Texas Health Science Center at Houston

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