#68,465

Most Influential Person Now

American mathematician

Edward R. Doughertymathematics Degrees

Mathematics

#4587

World Rank

#6498

Historical Rank

#1534

USA Rank

Measure Theory

#435

World Rank

#619

Historical Rank

#181

USA Rank

Mathematics

- PhD Mathematics University of Texas at Austin
- Masters Mathematics University of Texas at Austin
- Bachelors Mathematics University of Texas at Austin

According to Wikipedia, 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.

- Probabilistic Boolean networks: a rule-based uncertainty model for gene regulatory networks (2002) (1569)
- Ratio-based decisions and the quantitative analysis of cDNA microarray images. (1997) (762)
- Is cross-validation valid for small-sample microarray classification? (2004) (618)
- An introduction to morphological image processing (1992) (589)
- Morphological methods in image and signal processing (1988) (581)
- From Boolean to probabilistic Boolean networks as models of genetic regulatory networks (2002) (580)
- Hands-on Morphological Image Processing (2003) (579)
- Gene selection: a Bayesian variable selection approach (2003) (387)
- Mathematical Morphology in Image Processing (1992) (377)
- Performance of feature-selection methods in the classification of high-dimension data (2009) (356)
- Optimal number of features as a function of sample size for various classification rules (2005) (342)
- Gene perturbation and intervention in probabilistic Boolean networks. (2002) (295)
- Small-sample precision of ROC-related estimates (2010) (273)
- Optimal infinite-horizon control for probabilistic Boolean networks (2006) (243)
- External Control in Markovian Genetic Regulatory Networks (2003) (239)
- Fuzzification of set inclusion: theory and applications (1993) (238)
- Model-based evaluation of clustering validation measures (2007) (228)
- Probabilistic Boolean Networks - The Modeling and Control of Gene Regulatory Networks (2010) (220)
- Evolving Feature Selection (2005) (214)
- RNAi microarray analysis in cultured mammalian cells. (2003) (200)
- Ratio statistics of gene expression levels and applications to microarray data analysis (2002) (199)
- Coefficient of determination in nonlinear signal processing (2000) (198)
- Intervention in context-sensitive probabilistic Boolean networks (2005) (182)
- Small Sample Issues for Microarray-Based Classification (2001) (179)
- Probability and Statistics for the Engineering, Computing and Physical Sciences (1990) (169)
- Random processes for image and signal processing (1998) (166)
- Inference from Clustering with Application to Gene-Expression Microarrays (2002) (166)
- Generating Boolean networks with a prescribed attractor structure (2005) (164)
- CAN MARKOV CHAIN MODELS MIMIC BIOLOGICAL REGULATION (2002) (163)
- Big data need big theory too (2016) (161)
- Chemopreventive n-3 Polyunsaturated Fatty Acids Reprogram Genetic Signatures during Colon Cancer Initiation and Progression in the Rat (2004) (154)
- Inferring gene regulatory networks from time series data using the minimum description length principle (2006) (153)
- External control in Markovian genetic regulatory networks: the imperfect information case (2004) (153)
- Steady-State Analysis of Genetic Regulatory Networks Modelled by Probabilistic Boolean Networks (2003) (152)
- An Introduction to Nonlinear Image Processing (1994) (149)
- Identification of combination gene sets for glioma classification. (2002) (143)
- The impact of function perturbations in Boolean networks (2007) (140)
- The role of certain Post classes in Boolean network models of genetic networks (2003) (139)
- CONTROL OF STATIONARY BEHAVIOR IN PROBABILISTIC BOOLEAN NETWORKS BY MEANS OF STRUCTURAL INTERVENTION (2002) (137)
- Multivariate measurement of gene expression relationships. (2000) (132)
- Gray-scale morphological granulometric texture classification (1994) (131)
- Accurate and Reliable Cancer Classification Based on Probabilistic Inference of Pathway Activity (2009) (127)
- Bolstered error estimation (2004) (127)
- Morphological texture-based maximum-likelihood pixel classification based on local granulometric moments (1992) (123)
- Growing genetic regulatory networks from seed genes (2004) (118)
- Fuzzy mathematical morphology (1992) (117)
- Optimal mean-square N-observation digital morphological filters : I. Optimal binary filters (1992) (110)
- General nonlinear framework for the analysis of gene interaction via multivariate expression arrays. (2000) (107)
- Steady-state probabilities for attractors in probabilistic Boolean networks (2005) (107)
- Accelerated search for BaTiO3-based piezoelectrics with vertical morphotropic phase boundary using Bayesian learning (2016) (103)
- Effect of separate sampling on classification accuracy (2014) (100)
- Digital Image Processing Methods (1994) (99)
- Strong Feature Sets from Small Samples (2002) (99)
- Automatic programming of binary morphological machines by design of statistically optimal operators in the context of computational learning theory (1997) (98)
- A Bayesian connectivity-based approach to constructing probabilistic gene regulatory networks (2004) (96)
- From biological pathways to regulatory networks (2010) (96)
- Morphological Segmentation for Textures and Particles (2020) (93)
- Is cross-validation better than resubstitution for ranking genes? (2004) (90)
- Genomic Signal Processing and Statistics (2005) (87)
- Inferring Connectivity of Genetic Regulatory Networks Using Information-Theoretic Criteria (2008) (87)
- What should be expected from feature selection in small-sample settings (2006) (87)
- Bayesian Minimum Mean-Square Error Estimation for Classification Error—Part I: Definition and the Bayesian MMSE Error Estimator for Discrete Classification (2011) (86)
- Construction of genomic networks using mutual-information clustering and reversible-jump Markov-chain-Monte-Carlo predictor design (2003) (86)
- Noninvasive stool-based detection of infant gastrointestinal development using gene expression profiles from exfoliated epithelial cells. (2010) (84)
- The peaking phenomenon in the presence of feature-selection (2008) (82)
- Optimal classifiers with minimum expected error within a Bayesian framework - Part I: Discrete and Gaussian models (2013) (81)
- Effect of Function Perturbation on the Steady-State Distribution of Genetic Regulatory Networks: Optimal Structural Intervention (2008) (80)
- Missing-value estimation using linear and non-linear regression with Bayesian gene selection (2003) (80)
- Inference of Noisy Nonlinear Differential Equation Models for Gene Regulatory Networks Using Genetic Programming and Kalman Filtering (2008) (79)
- Cancer therapy design based on pathway logic (2011) (78)
- Enhancement and Restoration of Digital Documents: Statistical Design of Nonlinear Algorithms (1997) (77)
- Control approaches for probabilistic gene regulatory networks - What approaches have been developed for addreassinig the issue of intervention? (2007) (77)
- Mathematical methods for artificial intelligence and autonomous systems (1988) (76)
- Gene Clustering Based on Clusterwide Mutual Information (2004) (75)
- Image processing : continuous to discrete (1987) (75)
- Optimal mean-absolute-error hit-or-miss filters: morphological representation and estimation of the binary conditional expectation (1993) (74)
- Morphological image segmentation by local granulometric size distributions (1992) (73)
- Facilitation of optimal binary morphological filter design via structuring element libraries and design constraints (1992) (72)
- Identification of diagnostic subnetwork markers for cancer in human protein-protein interaction network (2010) (71)
- Autonomous efficient experiment design for materials discovery with Bayesian model averaging (2018) (70)
- Optimal mean-square N-observation digital morphological filters : II. Optimal gray-scale filters (1992) (69)
- Genomic Signal Processing (2003) (67)
- Simulation of cDNA microarrays via a parameterized random signal model. (2002) (67)
- Classification with reject option in gene expression data (2008) (66)
- Quantifying the Objective Cost of Uncertainty in Complex Dynamical Systems (2013) (66)
- Microarray reveals differences in both tumors and vascular specific gene expression in de novo CD5+ and CD5- diffuse large B-cell lymphomas. (2003) (65)
- Binarization of microarray data on the basis of a mixture model. (2003) (63)
- Decorrelation of the True and Estimated Classifier Errors in High-Dimensional Settings (2007) (60)
- Optimal Bayesian Transfer Learning (2018) (60)
- Research issues in genomic signal processing (2005) (60)
- Robust Intervention in Probabilistic Boolean Networks (2007) (57)
- Precision of morphological-representation estimators for translation-invariant binary filters: Increasing and nonincreasing (1994) (56)
- Unraveling gene-gene interactions regulated by ligands of the aryl hydrocarbon receptor. (2004) (56)
- Impact of error estimation on feature selection (2005) (55)
- Optimal experimental design for materials discovery (2017) (55)
- SNiPer-HD: improved genotype calling accuracy by an expectation-maximization algorithm for high-density SNP arrays (2007) (54)
- Superior feature-set ranking for small samples using bolstered error estimation (2005) (54)
- Exact performance of error estimators for discrete classifiers (2005) (54)
- A probabilistic theory of clustering (2004) (54)
- Introduction to Real-Time Imaging (1995) (53)
- Optimal Experimental Design for Gene Regulatory Networks in the Presence of Uncertainty (2015) (53)
- Classification of trabecular structure in magnetic resonance images based on morphological granulometries (1993) (53)
- Performance of Error Estimators for Classification (2010) (52)
- A general axiomatic theory of intrinsically fuzzy mathematical morphologies (1995) (52)
- Introduction to Genomic Signal Processing with Control (2006) (52)
- Validation of Inference Procedures for Gene Regulatory Networks (2007) (52)
- Inference of a Probabilistic Boolean Network from a Single Observed Temporal Sequence (2007) (51)
- EPISTEMOLOGY OF COMPUTATIONAL BIOLOGY: MATHEMATICAL MODELS AND EXPERIMENTAL PREDICTION AS THE BASIS OF THEIR VALIDITY (2006) (51)
- Reporting bias when using real data sets to analyze classification performance (2010) (51)
- NONLINEAR PROBIT GENE CLASSIFICATION USING MUTUAL INFORMATION AND WAVELET-BASED FEATURE SELECTION (2004) (50)
- Size distributions for multivariate morphological granulometries: texture classification and statistical properties (1997) (49)
- Design and analysis of fuzzy morphological algorithms for image processing (1997) (49)
- MODELING GENETIC REGULATORY NETWORKS: CONTINUOUS OR DISCRETE? (2006) (48)
- Optimal classifiers with minimum expected error within a Bayesian framework - Part II: Properties and performance analysis (2013) (47)
- Matrix Structured Image Processing (1987) (47)
- Optimal morphological restoration: The morphological filter mean-absolute-error theorem (1992) (47)
- Morphological granulometric analysis of electrophotographic images--size distribution statistics for process control (1991) (47)
- Analytic Study of Performance of Error Estimators for Linear Discriminant Analysis (2011) (47)
- Bayesian Minimum Mean-Square Error Estimation for Classification Error—Part II: Linear Classification of Gaussian Models (2011) (47)
- Optimal Constrained Stationary Intervention in Gene Regulatory Networks (2008) (46)
- Error Estimation for Pattern Recognition (2015) (46)
- Intervention in Gene Regulatory Networks via a Stationary Mean-First-Passage-Time Control Policy (2008) (45)
- Intrinsically Multivariate Predictive Genes (2008) (44)
- Optimal Intervention in Asynchronous Genetic Regulatory Networks (2008) (43)
- The Illusion of Distribution-Free Small-Sample Classification in Genomics (2011) (43)
- Genomic signal processing: diagnosis and therapy (2005) (42)
- Validation of gene regulatory networks: scientific and inferential (2011) (42)
- Performance of Feature Selection Methods (2009) (41)
- Intervention in gene regulatory networks via greedy control policies based on long-run behavior (2009) (41)
- Asymptotic granulometric mixing theorem: Morphological estimation of sizing parameters and mixture proportions (1998) (41)
- Intervention in Context-Sensitive Probabilistic Boolean Networks Revisited (2009) (40)
- Mappings between probabilistic Boolean networks (2003) (39)
- Aperture filters (2000) (38)
- Conditioning-Based Modeling of Contextual Genomic Regulation (2009) (37)
- Boolean Kalman filter and smoother under model uncertainty (2020) (37)
- Generalized Consistent Error Estimator of Linear Discriminant Analysis (2015) (37)
- Incorporation of Biological Pathway Knowledge in the Construction of Priors for Optimal Bayesian Classification (2014) (36)
- Reducing confounding and suppression effects in TCGA data: an integrated analysis of chemotherapy response in ovarian cancer (2012) (36)
- On the sampling distribution of resubstitution and leave-one-out error estimators for linear classifiers (2009) (36)
- Computational mathematical morphology (1994) (36)
- Bayesian Robustness in the Control of Gene Regulatory Networks (2007) (35)
- Stationary and structural control in gene regulatory networks: basic concepts (2010) (35)
- Exact Sample Conditioned MSE Performance of the Bayesian MMSE Estimator for Classification Error—Part I: Representation (2012) (35)
- Dynamics Preserving Size Reduction Mappings for Probabilistic Boolean Networks (2007) (34)
- Intrinsically Optimal Bayesian Robust Filtering (2014) (34)
- Reduction Mappings between Probabilistic Boolean Networks (2004) (34)
- Noise factor analysis for cDNA microarrays. (2004) (34)
- Moments and root-mean-square error of the Bayesian MMSE estimator of classification error in the Gaussian model (2013) (34)
- GENE SELECTION USING LOGISTIC REGRESSIONS BASED ON AIC, BIC AND MDL CRITERIA (2005) (33)
- Incorporating biological prior knowledge for Bayesian learning via maximal knowledge-driven information priors (2017) (33)
- How many samples are needed to build a classifier: a general sequential approach (2005) (33)
- Asymptotic normality of the morphological pattern-spectrum moments and orthogonal granulometric generators (1992) (33)
- Application of the Bayesian MMSE estimator for classification error to gene expression microarray data (2011) (33)
- GENE SELECTION USING LOGISTIC REGRESSIONS BASED ON AIC, BIC AND MDL CRITERIA (2005) (33)
- Which is better for cDNA-microarray-based classification: ratios or direct intensities (2004) (32)
- State reduction for network intervention in probabilistic Boolean networks (2010) (32)
- Representation of Linear Granulometric Moments for Deterministic and Random Binary Euclidean Images (1995) (32)
- Efficient experimental design for uncertainty reduction in gene regulatory networks (2015) (32)
- Optimal Intervention Strategies for Cyclic Therapeutic Methods (2009) (32)
- Electronic Imaging Technology (1999) (31)
- On the long-run sensitivity of probabilistic Boolean networks. (2009) (30)
- Bayesian robust optimal linear filters (2001) (30)
- Genomic Signal Processing: The Salient Issues (2004) (30)
- Estimation of optimal morphological τ-opening parameters based on independent observation of signal and noise pattern spectra (1992) (30)
- Feature selection algorithms to find strong genes (2005) (30)
- Tracking transcriptional activities with high-content epifluorescent imaging. (2012) (30)
- Noninvasive Detection of Candidate Molecular Biomarkers in Subjects with a History of Insulin Resistance and Colorectal Adenomas (2009) (29)
- Intervention in gene regulatory networks with maximal phenotype alteration (2013) (29)
- Gray-scale granulometries compatible with spatial scalings (1993) (29)
- Genomic profiles and predictive biological networks in oxidant-induced atherogenesis. (2003) (29)
- Joint Sampling Distribution Between Actual and Estimated Classification Errors for Linear Discriminant Analysis (2010) (28)
- A CoD-based reduction algorithm for designing stationary control policies on Boolean networks (2010) (28)
- On the Epistemological Crisis in Genomics (2008) (28)
- A switching algorithm for design of optimal increasing binary filters over large windows (2000) (28)
- Multiresolution Analysis for Optimal Binary Filters (2001) (28)
- Exact Sample Conditioned MSE Performance of the Bayesian MMSE Estimator for Classification Error—Part II: Consistency and Performance Analysis (2012) (27)
- Grand challenges for multimodal bio-medical systems (2005) (27)
- Intervention in a family of Boolean networks (2006) (27)
- A Bayesian approach to nonlinear probit gene selection and classification (2004) (26)
- Feature selection in the classification of high-dimension data (2008) (26)
- Multiscale Denoising of Biological Data: A Comparative Analysis (2012) (26)
- Genetic test bed for feature selection (2006) (26)
- Fuzzification of set inclusion (1992) (26)
- Cross-validation under separate sampling: strong bias and how to correct it (2014) (26)
- Exact correlation between actual and estimated errors in discrete classification (2010) (26)
- Multi-class cancer classification using multinomial probit regression with Bayesian gene selection. (2006) (26)
- Optimal binary differencing filters: design, logic complexity, precision analysis, and application to digital document processing (1996) (26)
- Relation Between Permutation-Test P Values and Classifier Error Estimates (2003) (26)
- Inference of Boolean Networks Using Sensitivity Regularization (2008) (25)
- Discrete optimal Bayesian classification with error-conditioned sequential sampling (2015) (25)
- Computational Gray-scale Mathematical Morphology on Lattices (A Comparator-based Image Algebra) Part 1: Architecture (1995) (25)
- Modeling the next generation sequencing sample processing pipeline for the purposes of classification (2013) (25)
- Morphological pattern-spectrum classification of noisy shapes: Exterior granulometries (1995) (25)
- Constructing Pathway-Based Priors within a Gaussian Mixture Model for Bayesian Regression and Classification (2019) (25)
- Image Segmentation By Local Morphological Granulometries (1989) (25)
- Determination of the optimal number of features for quadratic discriminant analysis via the normal approximation to the discriminant distribution (2005) (24)
- Optimal Intervention Strategies for Therapeutic Methods With Fixed-Length Duration of Drug Effectiveness (2012) (24)
- Genomic Signal Processing (Princeton Series in Applied Mathematics) (2007) (24)
- Computational Gray-scale Mathematical Morphology on Lattices (A Comparator-based Image Algebra) Part II: Image Operators (1995) (24)
- A fast Branch-and-Bound algorithm for U-curve feature selection (2018) (24)
- Uncertainty-aware Active Learning for Optimal Bayesian Classifier (2021) (24)
- Impact of Missing Value Imputation on Classification for DNA Microarray Gene Expression Data—A Model-Based Study (2010) (23)
- Review of stochastic hybrid systems with applications in biological systems modeling and analysis (2017) (23)
- The coefficient of intrinsic dependence (feature selection using el CID) (2005) (23)
- Nonstationary linear discriminant analysis (2017) (23)
- Epistemology of the Cell: A Systems Perspective on Biological Knowledge (2011) (23)
- Secondarily constrained Boolean filters (1998) (22)
- Optimal iterative increasing binary morphological filters (1996) (22)
- Identification of signature genes by microarray for acute myeloid leukemia without maturation and acute promyelocytic leukemia with t(15;17)(q22;q12)(PML/RARalpha). (2003) (22)
- Scalable optimal Bayesian classification of single-cell trajectories under regulatory model uncertainty (2018) (22)
- Unsupervised morphological granulometric texture segmentation of digital mammograms (1999) (22)
- Euclidean gray-scale granulometries: Representation and umbra inducement (1992) (22)
- Microarray ratio analysis under noisy background (1999) (22)
- The fundamental role of pattern recognition for gene-expression/microarray data in bioinformatics (2005) (22)
- Normalization Benefits Microarray-Based Classification (2006) (22)
- Intervention in Probabilistic Gene Regulatory Networks (2006) (22)
- Non-homothetic granulometric mixing theory with application to blood cell counting (2001) (21)
- A Constant-time Algorithm for Erosions/Dilations with Applications to Morphological Texture Feature Computation (2000) (21)
- Gene Prediction Using Multinomial Probit Regression with Bayesian Gene Selection (2004) (21)
- Design and Analysis of Robust Binary Filters in the Context of a Prior Distribution for the States of Nature (1999) (21)
- Detecting Periodic Genes from Irregularly Sampled Gene Expressions: A Comparison Study (2008) (21)
- Iterative design of morphological binary image operators (2000) (21)
- Effect of separate sampling on classification and the minimax criterion (2013) (21)
- Quantification of the Impact of Feature Selection on the Variance of Cross-Validation Error Estimation (2007) (21)
- Boolean relationships among genes responsive to ionizing radiation in the NCI 60 ACDS (2005) (21)
- Pattern Recognition Theory in Nonlinear Signal Processing (2002) (20)
- Multiresolution Design of Aperture Operators (2002) (20)
- Design of probabilistic Boolean networks under the requirement of contextual data consistency (2006) (20)
- Integrating Multiscale Modeling with Drug Effects for Cancer Treatment (2015) (20)
- Adaptive intervention in Probabilistic Boolean Networks (2009) (20)
- On the Number of Close-to-Optimal Feature Sets (2006) (20)
- Confidence Intervals for the True Classification Error Conditioned on the Estimated Error (2006) (20)
- Morphological spot counting from stacked images for automated analysis of gene copy numbers by fluorescence in situ hybridization. (2002) (20)
- Gray-Scale Morphology (2003) (20)
- Efficient derivation of the optimal mean-square binary morphological filter from the conditional expectation via a switching algorithm for discrete power-set lattice (1993) (20)
- MCMC implementation of the optimal Bayesian classifier for non-Gaussian models: model-based RNA-Seq classification (2014) (20)
- Exact representation of the second-order moments for resubstitution and leave-one-out error estimation for linear discriminant analysis in the univariate heteroskedastic Gaussian model (2012) (20)
- Morphological filter mean-absolute-error theorem (1992) (20)
- Robustness of granulometric moments (1999) (19)
- Feature selection: We've barely scratched the surface (2005) (19)
- Optimal Bayesian Kalman Filtering With Prior Update (2018) (19)
- Intervention in Gene Regulatory Networks via Phenotypically Constrained Control Policies Based on Long-Run Behavior (2012) (19)
- Optimal Wiener and homomorphic filtration: Review (2016) (18)
- Optimal reconstructive τ-openings for disjoint and statistically modeled nondisjoint grains (1997) (18)
- Bayesian Regression With Network Prior: Optimal Bayesian Filtering Perspective (2016) (18)
- Efficient selection of feature sets possessing high coefficients of determination based on incremental determinations (2003) (18)
- BPDA - A Bayesian peptide detection algorithm for mass spectrometry (2010) (18)
- Optimal convex error estimators for classification (2006) (17)
- Scientific knowledge is possible with small-sample classification (2013) (17)
- Intervention in Biological Phenomena Modeled by S-Systems (2011) (17)
- Conditional-expectation-based implementation of the optimal mean-square binary morphological filter (1991) (17)
- Optimal and adaptive reconstructive granulometric bandpass filters (1997) (17)
- Experiment Design Frameworks for Accelerated Discovery of Targeted Materials Across Scales (2019) (17)
- On the Comparison of Classifiers for Microarray Data (2010) (17)
- Application of image-based granulometry to siliceous and calcareous estuarine and marine sediments (2003) (17)
- On the Limitations of Biological Knowledge (2012) (17)
- Minimal search for the optimal mean-square digital gray-scale morphological filter (1990) (17)
- Recursive maximum-likelihood estimation in the one-dimensional discrete Boolean random set model (1995) (17)
- Inference of gene regulatory networks using genetic programming and Kalman filter (2006) (16)
- Optimal Intervention in Markovian Gene Regulatory Networks With Random-Length Therapeutic Response to Antitumor Drug (2013) (16)
- Characterization of fuzzy Minkowski algebra (1992) (16)
- Using structuring-element libraries to design suboptimal morphological filters (1991) (16)
- A comparison study of optimal and suboptimal intervention policies for gene regulatory networks in the presence of uncertainty (2014) (16)
- Multiple-rule bias in the comparison of classification rules (2011) (16)
- Selection Policy-Induced Reduction Mappings for Boolean Networks (2010) (16)
- Adaptive reconstructive tau-openings: convergence and the steady-state distribution (1996) (16)
- Optimal clustering with missing values (2018) (16)
- Image Processing: Algorithms and Systems II (2003) (16)
- Texture classification by gray-scale morphological granulometries (1992) (16)
- Noise-injected neural networks show promise for use on small-sample expression data (2006) (16)
- Two-stage binary filters (1999) (15)
- Optimal robust classifiers (2005) (15)
- Robust optimal granulometric bandpass filters (2001) (15)
- Heterogeneous morphological granulometries (2000) (15)
- Parameter estimation of biological phenomena modeled by S-systems: An Extended Kalman filter approach (2011) (15)
- Simulation Toolbox for 3D-FISH Spot-Counting Algorithms (2002) (15)
- Error Estimation for Pattern Recognition: Braga-Neto/Error (2015) (15)
- Validation of gene regulatory network inference based on controllability (2013) (15)
- Translational Science: Epistemology and the Investigative Process (2009) (15)
- Hybrid human-machine binary morphological operator design. An independent constraint approach (2000) (15)
- An Optimization-Based Framework for the Transformation of Incomplete Biological Knowledge into a Probabilistic Structure and Its Application to the Utilization of Gene/Protein Signaling Pathways in Discrete Phenotype Classification (2015) (15)
- The dual representation of gray-scale morphological filters (1989) (15)
- Application of the Hausdorff metric in gray-scale mathematical morphology via truncated umbrae (1991) (14)
- Systems biology for organotypic cell cultures. (2016) (14)
- Intrinsically Bayesian robust Karhunen-Loève compression (2018) (14)
- Probabilistic reconstruction of the tumor progression process in gene regulatory networks in the presence of uncertainty (2011) (14)
- Recent Advances in Intervention in Markovian Regulatory Networks (2009) (13)
- Bayesian Active Learning by Soft Mean Objective Cost of Uncertainty (2021) (13)
- Fuzzy Intervention in Biological Phenomena (2012) (13)
- Issues associated with microarray data analysis and integration (1999) (13)
- Nonlinear digital filtering of scanning‐probe‐microscopy images by morphological pseudoconvolutions (1992) (13)
- DYNAMICAL ANALYSIS OF DRUG EFFICACY AND MECHANISM OF ACTION USING GFP REPORTERS (2012) (13)
- Genetic Regulatory Networks (2007) (13)
- Optimal Objective-Based Experimental Design for Uncertain Dynamical Gene Networks with Experimental Error (2018) (13)
- Intrinsically fuzzy approach to mathematical morphology (1992) (13)
- Optimal nonlinear filter for signal-union-noise and runlength analysis in the directional one-dimensional discrete Boolean random set model (1996) (13)
- Image Algebra - Induced Operators And Induced Subalgebras (1987) (13)
- Segmentation-free morphological character recognition (1994) (13)
- 91 FADS AND FALLACIES IN THE NAME OF SMALL-SAMPLE MICROARRAY CLASSIFICATION (2007) (13)
- Performance of linear discriminant analysis in stochastic settings (2013) (12)
- Analytic Representation of Bayes Labeling and Bayes Clustering Operators for Random Labeled Point Processes (2015) (12)
- Modeling Genetic Regulatory Networks by Sigmoidal Functions: A Joint Genetic Algorithm and Kalman Filtering Approach (2007) (12)
- Classification of State Trajectories in Gene Regulatory Networks (2018) (12)
- Optimal Bayesian Classification With Missing Values (2018) (12)
- Gene Expression-Based Glioma Classification Using Hierarchical Bayesian Vector Machines (2007) (12)
- BPDA2d - a 2D global optimization-based Bayesian peptide detection algorithm for liquid chromatograph-mass spectrometry (2012) (12)
- Segmentation of mammograms into distinct morphological texture regions (1998) (12)
- High-dimensional bolstered error estimation (2011) (12)
- Intrinsically Bayesian robust classifier for single-cell gene expression trajectories in gene regulatory networks (2018) (11)
- Analysis of Expression Patterns: The Scope of the Problem, the Problem of Scope (2002) (11)
- Random matrix theory in pattern classification: An application to error estimation (2013) (11)
- Classifier performance as a function of distributional complexity (2004) (11)
- Analysis and modeling of time-course gene-expression profiles from nanomaterial-exposed primary human epidermal keratinocytes (2009) (11)
- A systematic model of the LC-MS proteomics pipeline (2012) (11)
- Recovering Genetic Regulatory Networks from Chromatin Immunoprecipitation and Steady-State Microarray Data (2008) (11)
- Efficient Active Learning for Gaussian Process Classification by Error Reduction (2021) (11)
- Nonlinear Image Processing IX (1999) (11)
- Clustering analysis for gene expression data (1999) (11)
- Model-based morphology (1991) (11)
- Nonlinear filters in genomic control (1999) (11)
- Model-Based Robust Filtering and Experimental Design for Stochastic Differential Equation Systems (2020) (10)
- Optimizing Consistency-Based Design of Context-Sensitive Gene Regulatory Networks (2006) (10)
- Fuzzy morphological filters (1992) (10)
- Corrected Small-sample Estimation of the Bayes Error (2003) (10)
- Quantifying the Multi-Objective Cost of Uncertainty (2020) (10)
- Model-based characterization of statistically optimal design for morphological shape recognition algorithms via the hit-or-miss transform (1992) (10)
- Learning restricted Boolean network model by time-series data (2014) (10)
- Experimental Design via Generalized Mean Objective Cost of Uncertainty (2018) (10)
- Design of multi-mask aperture filters (2003) (10)
- Optimal Binary Morphological Bandpass Filters Induced by Granulometric Spectral Representation (1997) (10)
- Dynamical modeling of uncertain interaction-based genomic networks (2015) (10)
- Evaluating Gene Set Enrichment Analysis Via a Hybrid Data Model (2014) (10)
- Error bounds for morphologically derived measurements (1987) (10)
- Detecting Multivariate Gene Interactions in RNA-Seq Data Using Optimal Bayesian Classification (2015) (10)
- Automatic design of morphological operators (2004) (10)
- What is Real-Time Processing? (1994) (10)
- Performance reproducibility index for classification (2012) (10)
- Sequential Experimental Design for Optimal Structural Intervention in Gene Regulatory Networks Based on the Mean Objective Cost of Uncertainty (2018) (10)
- Robustness of optimal binary filters (1998) (10)
- The reliability of estimated confidence intervals for classification error rates when only a single sample is available (2013) (9)
- Ayesian Automatic Relevance Determination Algorithms for Classifying Gene Expression Data (2002) (9)
- Causality, Randomness, Intelligibility, and the Epistemology of the Cell (2010) (9)
- Mathematical Modeling, Estimation, and Imaging (2000) (9)
- Representation of gray-scale windowed operators (1998) (9)
- Mathematical Nonlinear Image Processing (1993) (9)
- Detection of osteoporosis by morphological granulometries (1992) (9)
- Spectral Preprocessing for Clustering Time-Series Gene Expressions (2009) (9)
- Characterization of gray-scale morphological granulometries (1990) (9)
- Optimal Bayesian Classification With Vector Autoregressive Data Dependency (2019) (9)
- Classification of Single-Cell Gene Expression Trajectories from Incomplete and Noisy Data (2019) (9)
- Optimal mean-square-error calibration of classifier error estimators under Bayesian models (2012) (9)
- Assessing the efficacy of molecularly targeted agents on cell line-based platforms by using system identification (2012) (9)
- Identifying Genes Involved in Cyclic Processes by Combining Gene Expression Analysis and Prior Knowledge (2009) (9)
- Logical Granulometric Filtering in the Signal—Union—Clutter Model (1997) (9)
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- Statistical Applications in Genetics and Molecular Biology (2005) (0)

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Edward R. Dougherty is affiliated with the following schools:

- University of Texas at San Antonio
- University of Texas at Arlington
- Fairleigh Dickinson University
- University of California, San Diego
- University of Southern California
- MD Anderson Cancer Center
- University of Texas at Austin
- Rochester Institute of Technology
- Rutgers University
- Tampere University
- Texas A&M University

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