David Heckerman

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A Tractable Inference Algorithm for Diagnosing Multiple Diseases

David Heckerman, D. Heckerman, 2013, UAI.

A Decision-based View of Causality pdf

Ross D. Shachter, David Heckerman, D. Heckerman, 1994, UAI.

Inferring Informational Goals from Free-Text Queries: A Bayesian Approach

Eric Horvitz, David Heckerman, D. Heckerman, 1998, UAI.

An Approximate Nonmyopic Computation for Value of Information pdf

Eric Horvitz, Blackford Middleton, David Heckerman, 1993, IEEE Trans. Pattern Anal. Mach. Intell..

The myth of modularity in rule-based systems for reasoning with uncertainty pdf

Eric Horvitz, David Heckerman, D. Heckerman, 1986, UAI.

Gaussian Processes to Speed up Hybrid Monte Carlo for Expensive Bayesian Integrals

A. P. Dawid, Michael A. West, James O. Berger, 2003 .

Advances in Probabilistic Reasoning pdf

David Heckerman, Dan Geiger, D. Geiger, 1994, Conference on Uncertainty in Artificial Intelligence.

Learning Bayesian networks: The combination of knowledge and statistical data

David Maxwell Chickering, David Heckerman, Dan Geiger, 1995, Mach. Learn..

Continuous Time Dynamic Topic Models

Chong Wang, David Heckerman, David M. Blei, 2008, UAI.

A Characterization of the Dirichlet Distribution Through Global and Local Independence

David Heckerman, Dan Geiger, D. Geiger, 1994, UAI 1994.

A New Look at Causal Independence pdf

David Heckerman, John S. Breese, J. Breese, 1994, UAI.

David Heckerman, D. Heckerman, 1990, UAI.

Thinking Backward for Knowledge Acquisition

Ross D. Shachter, David Heckerman, D. Heckerman, 1987, AI Mag..

Healthcare delivery in developing countries: challenges and potential solutions

David Heckerman, Kristin M. Tolle, Joel Robertson, 2009, The Fourth Paradigm.

Models and Selection Criteria for Regression and Classification pdf

David Heckerman, Christopher Meek, D. Heckerman, 1997, UAI.

Bayesian networks

Michael P. Wellman, David Heckerman, D. Heckerman, 1995, CACM.

Statistical Resolution of Ambiguous HLA Typing Data

David Heckerman, Jennifer Listgarten, Carl Myers Kadie, 2008, PLoS Comput. Biol..

Probabilistic relevance relations

David Heckerman, Dan Geiger, D. Geiger, 1998, IEEE Trans. Syst. Man Cybern. Part A.

Recommendation as a Stochastic Sequential Decision Problem

Guy Shani, Ronen I. Brafman, David Heckerman, 2003, ICAPS.

Statistical Models for Data Mining

Paolo Giudici, David Heckerman, Joe Whittaker, 2001, Data Mining and Knowledge Discovery.

An axiomatic framework for belief updates

David Heckerman, D. Heckerman, 1986, UAI.

A Bayesian Approach to Learning Bayesian Networks with Local Structure pdf

David Maxwell Chickering, David Heckerman, Christopher Meek, 1997, UAI.

Probabilistic Interpretation for MYCIN's Certainty Factors

David Heckerman, D. Heckerman, 1990, UAI.

Dependency Networks for Inference, Collaborative Filtering, and Data Visualization

David Maxwell Chickering, David Heckerman, Christopher Meek, 2000, J. Mach. Learn. Res..

Decision-Theoretic Troubleshooting: A Framework for Repair and Experiment pdf

David Heckerman, John S. Breese, 1996, UAI.

Fighting spam with statistics

David Heckerman, Joshua Goodman, 2004 .

ARMA Time-Series Modeling with Graphical Models pdf

Bo Thiesson, David Maxwell Chickering, David Heckerman, 2004, UAI.

Learning Bayesian Networks: Search Methods and Experimental Results

David Heckerman, Dan Geiger, Max Chickering, 1995 .

A Bayesian Approach to Filtering Junk E-Mail

Susan T. Dumais, Eric Horvitz, David Heckerman, 1998, AAAI 1998.

Efficient Approximations for the Marginal Likelihood of Incomplete Data Given a Bayesian Network

David Maxwell Chickering, David Heckerman, D. Heckerman, 1996, UAI.

Parameter inference for stochastic kinetic models of bacterial gene regulation : a Bayesian approach to systems biology

A. P. Dawid, Michael A. West, James O. Berger, 2010 .

An Experimental Comparison of Model-Based Clustering Methods

Marina Meila, David Heckerman, D. Heckerman, 2004, Machine Learning.

Reflection and Action Under Scarce Resources: Theoretical Principles and Empirical Study

Eric Horvitz, David Heckerman, Gregory F. Cooper, 1989, IJCAI.

A Tutorial on Learning with Bayesian Networks

David Heckerman, D. Heckerman, 1999, Innovations in Bayesian Networks.

Computationally Efficient Methods For Selecting Among Mixtures Of Graphical Models, With Discussion

Bo Thiesson, David Maxwell Chickering, David Heckerman, 1999 .

Using ``epitomes'' to model genetic diversity: Rational design of HIV vaccine cocktails

Brendan J. Frey, Nebojsa Jojic, David Heckerman, 2005, NIPS 2005.

Coverage simulation results.

David Heckerman, Gabriel Rodrigues Alves Margarido, D. Heckerman, 2015 .

A Tractable Algorithm for Diagnosing Multiple Diseases

David Heckerman, 2016 .

Proceedings of the Ninth Conference on Uncertainty in Artificial Intelligence (1993) pdf

David Heckerman, Ebrahim H. Mamdani, 2013, ArXiv.

Probabilistic Independence Networks for Hidden Markov Probability Models

Michael I. Jordan, Padhraic Smyth, David Heckerman, 1997, Neural Computation.

Bayesian Networks for Knowledge Discovery

David Heckerman, D. Heckerman, 1996, Advances in Knowledge Discovery and Data Mining.

Editorial: real-world applications of uncertain reasoning

Michael P. Wellman, David Heckerman, Ebrahim H. Mamdani, 1995, Int. J. Hum. Comput. Stud..

The Certainty-Factor Model

David Heckerman, D. Heckerman, 2016 .

A Tutorial on Learning with Bayesian Networks

David Heckerman, D. Heckerman, 1998, Learning in Graphical Models.

The Learning-Curve Sampling Method Applied to Model-Based Clustering

Bo Thiesson, David Heckerman, Christopher Meek, 2002, J. Mach. Learn. Res..

Decision-Theoretic Foundations for Causal Reasoning pdf

Ross D. Shachter, David Heckerman, D. Heckerman, 1995, J. Artif. Intell. Res..

Modular Belief Updates and Confusion about Measures of Certainty in Artificial Intelligence Research pdf

Eric Horvitz, David Heckerman, D. Heckerman, 1985, UAI 1985.

Coping with Viral Diversity in HIV Vaccine Design

David Heckerman, Sergei L. Kosakovsky Pond, Mark Seligman, 2007, PLoS Comput. Biol..

On the Expressiveness of Rule-based Systems for Reasoning with Uncertainty

Eric Horvitz, David Heckerman, D. Heckerman, 1987, AAAI.

Probabilistic similarity networks

David Heckerman, D. Heckerman, 1991, Networks.

Comparison of Immunogen Designs That Optimize Peptide Coverage: Reply to Fischer et al

Nebojsa Jojic, Darko Kirovski, David Heckerman, 2008, PLoS Comput. Biol..

The First Conference on E-mail and Anti-Spam

Joshua Goodman, Andrew Y. Ng, David Heckerman, 2005, AI Mag..

Learning Gaussian Networks

David Heckerman, Dan Geiger, D. Geiger, 1994, UAI.

Likelihoods and Parameter Priors for Bayesian Networks

David Heckerman, 1995 .

Bayesian Graphical Models and Networks

David Heckerman, D. Heckerman, 2001 .

Leveraging Information Across HLA Alleles/Supertypes Improves Epitope Prediction

David Heckerman, Jennifer Listgarten, Carl Myers Kadie, 2007, J. Comput. Biol..

A powerful and efficient set test for genetic markers that handles confounders

David Heckerman, Christoph Lippert, Jennifer Listgarten, 2012, Bioinform..

Embedded Bayesian Network Classifiers pdf

David Heckerman, Christopher Meek, D. Heckerman, 2019, ArXiv.

Probabilistic Models for Relational Data

David Heckerman, Christopher Meek, Daphne Koller, 2004 .

Spam and the ongoing battle for the inbox

Gordon V. Cormack, Joshua Goodman, David Heckerman, 2007, CACM.

A Probabilistic Reformulation of the Quick Medical Reference System

Eric Horvitz, Blackford Middleton, David Heckerman, 1990 .

Shift-Invariant Adaptive Double Threading: Learning MHC II - Peptide Binding

Nebojsa Jojic, David Heckerman, Noah Zaitlen, 2007, RECOMB.

Inference Algorithms for Similarity Networks

David Heckerman, Dan Geiger, D. Geiger, 1993, UAI.

Graphical models for data mining

David Heckerman, D. Heckerman, 2004, KDD.

Phylogenetic Dependency Networks: Inferring Patterns of CTL Escape and Codon Covariation in HIV-1 Gag

David Heckerman, Carl Myers Kadie, Bruce D. Walker, 2008, PLoS Comput. Biol..

Learning With Bayesian Networks (Abstract)

David Heckerman, D. Heckerman, 1995, ICML.

Generative or Discriminative? Getting the Best of Both Worlds

A. P. Dawid, Julia Lasserre, Michael A. West, 2007 .

Exploiting High Dimensionality in Big Data

David Heckerman, 2019, KDD.

Correction for hidden confounders in the genetic analysis of gene expression

David Heckerman, Jennifer Listgarten, Carl Myers Kadie, 2010, Proceedings of the National Academy of Sciences.

An approximate nonmyopic computation for value of information

Eric Horvitz, Blackford Middleton, David Heckerman, 1994, UAI 1994.

Uncertainty in artificial intelligence : proceedings of the Ninth Conference (1993) : July 9-11, 1993, Ninth Conference on Uncertainty in Artificial Intelligence, The Catholic University of America, Washington, D.C.

David Heckerman, Abe Mamdani, D. Heckerman, 1993 .

Learning Bayesian Networks: The Combination of Knowledge and Statistical Data

David Maxwell Chickering, David Heckerman, Dan Geiger, 1994, Machine Learning.

Proceedings of the Ninth international conference on Uncertainty in artificial intelligence

David Heckerman, Abe Mamdani, D. Heckerman, 1993, Conference on Uncertainty in Artificial Intelligence.

The Lumière Project: Bayesian User Modeling for Inferring the Goals and Needs of Software Users pdf

Eric Horvitz, David Heckerman, John S. Breese, 1998, UAI.

FaST linear mixed models for genome-wide association studies

Ying Liu, David Heckerman, Christoph Lippert, 2011, Nature Methods.

An empirical comparison of three inference methods pdf

David Heckerman, D. Heckerman, 2013, UAI.

The Learning Curve Method Applied to Clustering

Bo Thiesson, David Heckerman, Christopher Meek, 2001, AISTATS.

Inference in Directed Acyclic Graphs with Applications to Hidden Markov Model Structures

David Heckerman, Paul Stolorz, Padhraic, 1995 .

Leveraging Information Across HLA Alleles/Supertypes Improves Epitope Prediction

David Heckerman, Jennifer Listgarten, Carl Myers Kadie, 2006, RECOMB.

Learning Bayesian Networks From Dependency Networks: A Preliminary Study

David Maxwell Chickering, Geoff Hulten, David Heckerman, 2003, AISTATS.

Shift-Invariant Adaptive Double Threading: Learning MHC II - Peptide Binding

Nebojsa Jojic, David Heckerman, Noah Zaitlen, 2007, RECOMB.

Markov chain Monte Carlo-based approaches for inference in computationally intensive inverse problems

James O. Berger, David Heckerman, A. Philip Dawid, 2003 .

A combination of cutset conditioning with clique-tree propagation in the Pathfinder system pdf

David Heckerman, Gregory F. Cooper, Henri Jacques Suermondt, 1990, UAI.

Model-Based Clustering and Visualization of Navigation Patterns on a Web Site

Padhraic Smyth, David Heckerman, Christopher Meek, 2003, Data Mining and Knowledge Discovery.

Stopping spam. What can be done to stanch the flood of junk e-mail messages?

David Heckerman, Robert Rounthwaite, Joshua Goodman, 2005, Scientific American.

Considering Cost Asymmetry in Learning Classifiers

Eric Horvitz, Francis R. Bach, David Heckerman, 2006, J. Mach. Learn. Res..

Empirical Analysis of Predictive Algorithms for Collaborative Filtering

David Heckerman, Carl Myers Kadie, John S. Breese, 1998, UAI.

Causal independence for probability assessment and inference using Bayesian networks

David Heckerman, John S. Breese, J. Breese, 1996, IEEE Trans. Syst. Man Cybern. Part A.

Det. (Distance Encoded Tree): A Scalable Visualization Tool for Mapping Multiple Traits to Large Evolutionary Trees

Bongshin Lee, David Heckerman, George G. Robertson, 2008 .

Practical and Theoretical Advances in Knowledge Acquisition of Probabilistic Networks pdf

David Heckerman, Dan Geiger, 2013, ArXiv.

Structure and Parameter Learning for Causal Independence and Causal Interaction Models

David Heckerman, Christopher Meek, D. Heckerman, 1997, UAI.

Decision-theoretic case-based reasoning

David Heckerman, John S. Breese, J. Breese, 1994, IEEE Trans. Syst. Man Cybern. Part A.

Efficient approximations for learning phylogenetic HMM models from data

Nebojsa Jojic, David Haussler, David Heckerman, 2004, ISMB/ECCB.

Proceedings of the Third International Conference on Knowledge Discovery and Data Mining

Heikki Mannila, David Heckerman, Ramasamy Uthurusamy, 1997 .

Learning Mixtures of DAG Models

Bo Thiesson, David Maxwell Chickering, David Heckerman, 1998, UAI.

A Method for Temporal Probabilistic Reasoning

Eric Horvitz, David Heckerman, Gregory F. Cooper, 2016 .

Determining the Number of Non-Spurious Arcs in a Learned DAG Model: Investigation of a Bayesian and a Frequentist Approach

David Heckerman, Jennifer Listgarten, D. Heckerman, 2007, UAI.

Separable and Transitive Graphoids

David Heckerman, Dan Geiger, D. Geiger, 1990, UAI.

A Statistical Framework for Modeling HLA-Dependent T Cell Response Data

David Heckerman, Jennifer Listgarten, Carl Myers Kadie, 2007, PLoS Comput. Biol..

On Finding a Cycle Basis with a Shortest Maximal Cycle

David Maxwell Chickering, David Heckerman, Dan Geiger, 1995, Inf. Process. Lett..

Greater power and computational efficiency for kernel-based association testing of sets of genetic variants

David Heckerman, Christoph Lippert, Jennifer Listgarten, 2014, Bioinform..

Dependence and Relevance: A probabilistic view pdf

David Heckerman, Dan Geiger, D. Geiger, 2016, ArXiv.

Toward Accounting for Hidden Common Causes When Inferring Cause and Effect from Observational Data

David Heckerman, D. Heckerman, 2018, ACM Trans. Intell. Syst. Technol..

Bayesian Networks for Data Mining

David Heckerman, D. Heckerman, 2004, Data Mining and Knowledge Discovery.

The Pathfinder System

Eric Horvitz, David Heckerman, Bharat N. Nathwani, 1989 .

Knowledge Representation and Inference in Similarity Networks and Bayesian Multinets

David Heckerman, Dan Geiger, D. Geiger, 1996, Artif. Intell..

A Decision Theoretic Approach to Targeted Advertising

David Maxwell Chickering, David Heckerman, D. Heckerman, 2000, UAI.

CFW: A Collaborative Filtering System Using Posteriors over Weights of Evidence

David Heckerman, Christopher Meek, Carl Myers Kadie, 2002, UAI.

Fast Learning from Sparse Data pdf

David Maxwell Chickering, David Heckerman, D. Heckerman, 1999, UAI.

Computational and statistical issues in personalized medicine

David Heckerman, Christoph Lippert, D. Heckerman, 2015, XRDS.

A backwards view for assessment pdf

Ross D. Shachter, David Heckerman, D. Heckerman, 1986, UAI.

The Inconsistent Use of Measures of Certainty in Artificial Intelligence Research

Eric Horvitz, David Heckerman, D. Heckerman, 1985, UAI.

Bayesian Statistics 8

A. P. Dawid, Julia Lasserre, Michael A. West, 2007 .

A Characterization of the Dirichlet Distribution with Application to Learning Bayesian Networks pdf

David Heckerman, Dan Geiger, D. Geiger, 1995, UAI.

A Bayesian Approach to Learning Causal Networks pdf

David Heckerman, D. Heckerman, 1995, UAI.

Correction: Comparison of Immunogen Designs That Optimize Peptide Coverage: Reply to Fischer et al

Darko Kirovski, David Heckerman, Vladimir Jojic, 2008, PLoS Computational Biology.

Learning mixtures of smooth, nonuniform deformation models for probabilistic image matching

Brendan J. Frey, Nebojsa Jojic, Patrice Y. Simard, 2001, AISTATS.

Probabilistic and Bayesian Representations of Uncertainty in Information Systems: A Pragmatic Introduction

David Heckerman, Max Henrion, Henri Jacques Suermondt, 1996, Uncertainty Management in Information Systems.

Ludicrous Speed Linear Mixed Models for Genome-Wide Association Studies

David Heckerman, Carl M. Kadie, D. Heckerman, 2017, bioRxiv.

Problem formulation as the reduction of a decision model pdf

Eric Horvitz, David Heckerman, 1990, UAI.

Literome: PubMed-scale genomic knowledge base in the cloud

Hoifung Poon, David Heckerman, Chris Quirk, 2014, Bioinform..

Asymptotic Model Selection for Directed Networks with Hidden Variables

David Heckerman, Christopher Meek, Dan Geiger, 1996, UAI.

Causal Independence for Knowledge Acquisition and Inference

David Heckerman, D. Heckerman, 1993, UAI.

From certainty factors to belief networks

Edward H. Shortliffe, David Heckerman, E. Shortliffe, 1992, Artif. Intell. Medicine.

Using epitomes to model genetic diversity: Rational design of HIV vaccines

Brendan J. Frey, Nebojsa Jojic, David Heckerman, 2005, NIPS.

Update on the Pathfinder Project

David Heckerman, Bharat N. Nathwani, Eric Horvitz, 2016 .

Troubleshooting Under Uncertainty

David Heckerman, John S. Breese, Koos Rommelse, 1994 .

Dependency Networks for Collaborative Filtering and Data Visualization pdf

David Maxwell Chickering, David Heckerman, Christopher Meek, 2000, UAI.

Decision-Theoretic: troubleshooting : Real-World Applications of Bayesian Networks

David Heckerman, John S. Breese, Koos Rommelse, 1995 .

Learning Bayesian Networks: A Unification for Discrete and Gaussian Domains pdf

David Heckerman, Dan Geiger, D. Geiger, 1995, UAI.

PhyloDet: a scalable visualization tool for mapping multiple traits to large evolutionary trees

Bongshin Lee, David Heckerman, George G. Robertson, 2009, Bioinform..

Proceedings of the Third International Conference on Knowledge Discovery and Data Mining (KDD-97), Newport Beach, California, USA, August 14-17, 1997

Heikki Mannila, David Heckerman, Daryl Pregibon, 1997, KDD.

Proceedings of the 3rd International Conference on Knowledge Discovery and Data Mining

Heikki Mannila, David Heckerman, Ramasamy Uthurusamy, 1997 .

A comparison of scientific and engineering criteria for Bayesian model selection

David Maxwell Chickering, David Heckerman, D. Heckerman, 2000, Stat. Comput..

Decision-theoretic troubleshooting

David Heckerman, John S. Breese, Koos Rommelse, 1995, CACM.

External Bayesian analysis for computer simulators

James O. Berger, David Heckerman, A. F. M. Smith, 2010 .

Separating appearance from deformation

Brendan J. Frey, Nebojsa Jojic, Patrice Y. Simard, 2001, Proceedings Eighth IEEE International Conference on Computer Vision. ICCV 2001.

Variations on undirected graphical models and their relationships

David Heckerman, Thomas S. Richardson, Christopher Meek, 2014, Kybernetika.

Diagnosis of Multiple Faults: A Sensitivity Analysis pdf

David Heckerman, Michael Shwe, D. Heckerman, 1993, UAI.

A Bayesian Perspective on Confidence

David Heckerman, Holly Brügge Jimison, D. Heckerman, 1987, UAI.

Diagnostic Strategies in the Hypothesis-Directed PATHFINDER System

Eric Horvitz, Lawrence M. Fagan, David Heckerman, 2016 .

Stability analysis of time series forecasting with ART models

David Maxwell Chickering, David Heckerman, Alex Bocharov, 2006 .

An Experimental Comparison of Several Clustering and Initialization Methods pdf

Marina Meila, David Heckerman, D. Heckerman, 1998, UAI.

Accelerating EM for Large Databases

Bo Thiesson, David Heckerman, Christopher Meek, 2001, Machine Learning.

An efficient group test for genetic markers that handles confounding

David Heckerman, Christoph Lippert, Jennifer Listgarten, 2012 .

Efficient Approximations for the Marginal Likelihood of Bayesian Networks with Hidden Variables

David Maxwell Chickering, David Heckerman, D. Heckerman, 1997, Machine Learning.

Challenge: What is the Impact of Bayesian Networks on Learning?

David Heckerman, Stuart J. Russell, Nir Friedman, 1997, IJCAI.

ConPADE: Genome Assembly Ploidy Estimation from Next-Generation Sequencing Data

David Heckerman, Gabriel R. A. Margarido, D. Heckerman, 2015, PLoS Comput. Biol..

Probabilistic Entity-Relationship Models, PRMs, and Plate Models

David Heckerman, Christopher Meek, Daphne Koller, 2004 .

Towards a Better Understanding of the INTERNIST-1 Knowledge Base

Randolph A. Miller, David Heckerman, 2016 .

A perspective on confidence and its use in focusing attention during knowledge acquisition

David Heckerman, Holly Brügge Jimison, D. Heckerman, 1987, Int. J. Approx. Reason..

Learning Mixtures of Bayesian Networks

Bo Thiesson, David Maxwell Chickering, David Heckerman, 1997, UAI 1997.

The Compilation of Decision Models pdf

Eric Horvitz, David Heckerman, John S. Breese, 2013, UAI 1989.

Targeted advertising with inventory management

David Maxwell Chickering, David Heckerman, D. Heckerman, 2000, EC '00.

Joint Discovery of Haplotype Blocks and Complex Trait Associations from SNP Sequences

Nebojsa Jojic, David Heckerman, Vladimir Jojic, 2004, UAI.

Dependency Networks for Density Estimation, Collaborative Filtering, and Data Visualization

David Heckerman, Carl M. Kadie, Christopher Meek, 2000 .

The Role of Calculi in Uncertain Inference Systems pdf

Michael P. Wellman, David Heckerman, D. Heckerman, 2013, ArXiv.

Parameter Priors for Directed Acyclic Graphical Models and the Characteriration of Several Probability Distributions pdf

David Heckerman, Dan Geiger, D. Geiger, 1999, UAI.

A Framework for Comparing Alternative Formalisms for Plausible Reasoning

Eric Horvitz, David Heckerman, Curtis P. Langlotz, 1986, AAAI.

On the Path to an Ideal ROC Curve: Considering Cost Asymmetry in Learning Classifiers

Eric Horvitz, Francis R. Bach, David Heckerman, 2005, AISTATS.

Heuristic Abstraction in the Decision-Theoretic Pathfinder System

Eric Horvitz, David Heckerman, Keung-Chi Ng, 1989 .

On the geometry of DAG models with hidden variables

David Heckerman, Christopher Meek, Dan Geiger, 1999, AISTATS.

Staged Mixture Modelling and Boosting pdf

Bo Thiesson, David Heckerman, Christopher Meek, 2002, UAI.

Visualization of navigation patterns on a Web site using model-based clustering

Padhraic Smyth, David Heckerman, Christopher Meek, 2000, KDD '00.

Inferring novel associations between SNP sets and gene sets in eQTL study using sparse graphical model

Wei Cheng, Xiaolin Yin, Jing Li, 2012, BCB.

Probabilistic similarity networks pdf

David Heckerman, D. Heckerman, 1991, Networks.

A Definition and Graphical Representation for Causality pdf

Ross D. Shachter, David Heckerman, D. Heckerman, 1995, UAI.

Chromosome 9p21 in amyotrophic lateral sclerosis in Finland: a genome-wide association study

David Heckerman, Sonja W. Scholz, D. Heckerman, 2010, The Lancet Neurology.

Role of Transmitted Gag CTL Polymorphisms in Defining Replicative Capacity and Early HIV-1 Pathogenesis

David Heckerman, Tianwei Yu, Jonathan M. Carlson, 2012, PLoS pathogens.

Gag-Protease-Mediated Replication Capacity in HIV-1 Subtype C Chronic Infection: Associations with HLA Type and Clinical Parameters

David Heckerman, Carl M. Kadie, Elena Losina, 2010, Journal of Virology.

Stratiied Exponential Families: Graphical Models and Model Selection

David Heckerman, Dan Geiger, D. Geiger, 1998 .

Correlates of Protective Cellular Immunity Revealed by Analysis of Population-Level Immune Escape Pathways in HIV-1

David Heckerman, Jennifer Listgarten, Nico Pfeifer, 2012, Journal of Virology.

Transmission of HIV-1 Gag immune escape mutations is associated with reduced viral load in linked recipients

David Heckerman, Jianming Tang, Karina Yusim, 2008, The Journal of experimental medicine.

Profiling of Short-Tandem-Repeat Disease Alleles in 12,632 Human Whole Genomes

David Heckerman, Christoph Lippert, Amalio Telenti, 2017, American journal of human genetics.

Identification of essential regulatory elements in the human genome

David Heckerman, Bing Ren, Amalio Telenti, 2018, bioRxiv.

The Major Genetic Determinants of HIV-1 Control Affect HLA Class I Peptide Presentation

Jack T Stapleton, Stuart Haber, David Heckerman, 2010, Science.

Toward Normative Expert Systems Part I

Eric Horvitz, David Heckerman, Bharat N. Nathwani, 2016 .

CD8+ T-cell responses to different HIV proteins have discordant associations with viral load

David Heckerman, John Frater, Christian Brander, 2007, Nature Medicine.

Accurate liability estimation improves power in ascertained case-control studies

David Heckerman, Dan Geiger, Christoph Lippert, 2014, Nature Methods.

Estimating false discovery rates for contingency tables

Guy Shani, David Heckerman, Jonathan M. Carlson, 2009 .

Adaptation of HIV-1 to human leukocyte antigen class I

David Heckerman, John Frater, Rodney Phillips, 2009, Nature.

Evidence of Differential HLA Class I-Mediated Viral Evolution in Functional and Accessory/Regulatory Genes of HIV-1

David Heckerman, Tanmoy Bhattacharya, Christian Brander, 2007, PLoS pathogens.

HLA Footprints on Human Immunodeficiency Virus Type 1 Are Associated with Interclade Polymorphisms and Intraclade Phylogenetic Clustering

David Heckerman, Anthony D. Kelleher, Philip J. R. Goulder, 2009, Journal of Virology.

The benefits of selecting phenotype-specific variants for applications of mixed models in genomics

David Heckerman, Carl M. Kadie, Christoph Lippert, 2013, Scientific Reports.

Pearl Causality and the Value of Control

Ross D. Shachter, David Heckerman, 2016 .

Frequent and Variable Cytotoxic-T-Lymphocyte Escape-Associated Fitness Costs in the Human Immunodeficiency Virus Type 1 Subtype B Gag Proteins

David Heckerman, Zabrina L. Brumme, Jonathan M. Carlson, 2013, Journal of Virology.

CORRIGENDUM: An Exhaustive Epistatic SNP Association Analysis on Expanded Wellcome Trust Data

David Heckerman, Carl M. Kadie, Christoph Lippert, 2013, Scientific Reports.

Marked Epitope- and Allele-Specific Differences in Rates of Mutation in Human Immunodeficiency Type 1 (HIV-1) Gag, Pol, and Nef Cytotoxic T-Lymphocyte Epitopes in Acute/Early HIV-1 Infection

David Heckerman, Anthony D. Kelleher, Zabrina L. Brumme, 2008, Journal of Virology.

HLA-Associated Immune Escape Pathways in HIV-1 Subtype B Gag, Pol and Nef Proteins

David W. Haas, David Heckerman, Carl M. Kadie, 2009, PloS one.

FaST-LMM-Select for addressing confounding from spatial structure and rare variants

David Heckerman, Christoph Lippert, Jennifer Listgarten, 2013, Nature Genetics.

The Hypervariable HIV-1 Capsid Protein Residues Comprise HLA-Driven CD8+ T-Cell Escape Mutations and Covarying HLA-Independent Polymorphisms

David Heckerman, Philip J. R. Goulder, Jonathan M. Carlson, 2010, Journal of Virology.

Differential Clade-Specific HLA-B*3501 Association with HIV-1 Disease Outcome Is Linked to Immunogenicity of a Single Gag Epitope

Andrew K. Sewell, David Heckerman, Philip J. R. Goulder, 2012, Journal of Virology.

Progression to AIDS in South Africa Is Associated with both Reverting and Compensatory Viral Mutations

David Heckerman, Dominique Goedhals, Zabrina L. Brumme, 2011, PloS one.

HIV Control Is Mediated in Part by CD8+ T-Cell Targeting of Specific Epitopes

David Heckerman, Jonathan M. Carlson, Charles E. DeZiel, 2014, Journal of Virology.

The learning-curve method applied to model-based clustering

Bo Thiesson, David Heckerman, D. Heckerman, 2002 .

A Hexanucleotide Repeat Expansion in C9ORF72 Is the Cause of Chromosome 9p21-Linked ALS-FTD

David Heckerman, Lorne Zinman, Joanne Wuu, 2011, Neuron.

Variable HIV peptide stability in human cytosol is critical to epitope presentation and immune escape.

David Heckerman, D. Heckerman, C. Kadie, 2011, The Journal of clinical investigation.

Allele-defined genome of the autopolyploid sugarcane Saccharum spontaneum L.

David Sankoff, David Heckerman, Jinjin Song, 2018, Nature Genetics.

Extensive HLA class I allele promiscuity among viral CTL epitopes

Nebojsa Jojic, John Sidney, Alessandro Sette, 2007, European journal of immunology.

Patterns of methylation heritability in a genome-wide analysis of four brain regions

David Heckerman, Christoph Lippert, Jennifer Listgarten, 2013, Nucleic acids research.

Control of human immunodeficiency virus replication by cytotoxic T lymphocytes targeting subdominant epitopes

David Heckerman, Sharon Adams, Christian Brander, 2006, Nature Immunology.

Significant Reductions in Gag-Protease-Mediated HIV-1 Replication Capacity during the Course of the Epidemic in Japan

David Heckerman, Zabrina L. Brumme, Jonathan M. Carlson, 2012, Journal of Virology.

Leveraging Hierarchical Population Structure in Discrete Association Studies

David Heckerman, Simon Mallal, D. Heckerman, 2007, PloS one.

Ranking of non-coding pathogenic variants and putative essential regions of the human genome

David Heckerman, Bing Ren, Amalio Telenti, 2019, Nature Communications.

Human leukocyte antigen-specific polymorphisms in HIV-1 Gag and their association with viral load in chronic untreated infection

David Heckerman, Christian Brander, Nicole Frahm, 2008, AIDS.

Broad and Gag-Biased HIV-1 Epitope Repertoires Are Associated with Lower Viral Loads

David Heckerman, Philip J. R. Goulder, Christian Brander, 2008, PloS one.

Impact of HLA-B Alleles, Epitope Binding Affinity, Functional Avidity, and Viral Coinfection on the Immunodominance of Virus-Specific CTL Responses1

John Sidney, Alessandro Sette, David Heckerman, 2006, The Journal of Immunology.

Influence of HLA-C Expression Level on HIV Control

David Heckerman, Jacques Fellay, Simon Mallal, 2013 .

A genome-to-genome analysis of associations between human genetic variation, HIV-1 sequence diversity, and viral control

David Heckerman, Jacques Fellay, Christoph Lippert, 2013, eLife.

Selection bias at the heterosexual HIV-1 transmission bottleneck

Jessica Prince, David Heckerman, Jianming Tang, 2013, Science.

A Characterization of the Bivariate Normal-Wishart Distribution

David Heckerman, Dan Geiger, D. Geiger, 1995 .

Improved linear mixed models for genome-wide association studies

Eleazar Eskin, David Heckerman, Christoph Lippert, 2012, Nature Methods.

Quantifying the uncertainty in heritability

David Heckerman, Christoph Lippert, D. Heckerman, 2014, Journal of Human Genetics.

Combinatorics of The Vaccine Design Problem: Definition and An Algorithm

Darko Kirovski, David Heckerman, D. Heckerman, 2007 .