# keywords[]
2.5 Research Design And Methodologies (aetiology)

# educationAndTraining[].organization.label
Rice University - (Houston, Texas, United States)

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Bayesian nonlinear model selection for gene regulatory networks.

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Bayesian Double Feature Allocation for Phenotyping With Electronic Health Records

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Heterogeneity of human prostate carcinoma-associated fibroblasts implicates a role for subpopulations in myeloid cell recruitment.

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DNB: A Joint Learning Framework for Deep Bayesian Nonparametric Clustering.

# publications[].publisher
Institute of Electrical and Electronics Engineers (IEEE)

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Bayesian Approaches for Large Biological Networks

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Blocked Gibbs sampler for hierarchical Dirichlet processes

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Bivariate Causal Discovery for Categorical Data via Classification with   Optimal Label Permutation

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A Unified Bayesian Framework for Bi-overlapping-Clustering Multi-omics Data via Sparse Matrix Factorization.

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Parallel-Tempered Feature Allocation for Large-Scale Tumor Heterogeneity with Deep Sequencing Data

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Variance in estimated pairwise genetic distance under high versus low coverage sequencing: The contribution of linkage disequilibrium.

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Polygenic prediction via Bayesian regression and continuous shrinkage priors.

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Individualized causal discovery with latent trajectory embedded Bayesian networks.

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Discussions of the paper "Sparse graphs using exchangeable random   measures" by F. Caron and E. B. Fox

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Iron Deficiency and Internalizing Symptoms Among Adolescents in the National Health and Nutrition Examination Survey.

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Consensus Monte Carlo for Random Subsets using Shared Anchors

# publications[].label
Bayesian Hierarchical Varying-sparsity Regression Models with Application to Cancer Proteogenomics.

# publications[].label
Sparse graphs using exchangeable random measures.

# publications[].label
Graphical Dirichlet Process for Clustering Non-Exchangeable Grouped Data

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Consensus Monte Carlo for Random Subsets using Shared Anchors.

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Covariate-Assisted Bayesian Graph Learning for Heterogeneous Data

# publications[].label
Bayesian biclustering for microbial metagenomic sequencing data via multinomial matrix factorization.

# publications[].label
Sparse Multi-Dimensional Graphical Models: A Unified Bayesian Framework

# publications[].label
TEAMS: Toxicity- and Efficacy-based Dose Insertion Design with Adaptive Model Selection for Phase I/II Dose-Escalation Trials in Oncology.

# publications[].label
Bayesian Double Feature Allocation for Phenotyping with Electronic   Health Records

# publications[].label
Integrative bayesian network analysis of genomic data.

# publications[].label
Consensus Variational and Monte Carlo Algorithms for Bayesian Nonparametric Clustering

# publications[].label
Reciprocal Graphical Models for Integrative Gene Regulatory Network Analysis

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Functional Bayesian networks for discovering causality from multivariate functional data.

# publications[].label
Bayesian Nonlinear Tensor Regression with Functional Fused Elastic Net Prior

# publications[].label
Bayesian graphical models for computational network biology.

# researcherOn[].label
Collaborative Research: New Bayesian Methods for Modeling the Effect of Antiretroviral Drugs on Depressive Symptomatology in HIV patients

# researcherOn[].awardedBy.label
National Science Foundation - (Arlington, Virginia, United States)