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Joint Bayesian estimation of cell dependence and gene associations in spatially resolved transcriptomic data

Scientific reports, 2024-04, Vol.14 (1), p.9516-9516, Article 9516

2024

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Bayesian variable selection with graphical structure learning: Applications in integrative genomics

PloS one, 2018-07, Vol.13 (7), p.e0195070-e0195070

2018

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Bayesian optimization with adaptive surrogate models for automated experimental design

npj computational materials, 2021-12, Vol.7 (1), p.1-12, Article 194

2021

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Fast sampling with Gaussian scale mixture priors in high-dimensional regression

Biometrika, 2016-12, Vol.103 (4), p.985-991

2016

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Gene selection: a Bayesian variable selection approach

Bioinformatics (Oxford, England), 2003, Vol.19 (1), p.90-97

2003

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Covariate-Assisted Bayesian Graph Learning for Heterogeneous Data

Journal of the American Statistical Association, 2024-09, Vol.119 (547), p.1985-1999

2024

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Joint High‐Dimensional Bayesian Variable and Covariance Selection with an Application to eQTL Analysis

Biometrics, 2013-06, Vol.69 (2), p.447-457

2013

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Bayesian sparse multiple regression for simultaneous rank reduction and variable selection

Biometrika, 2020-03, Vol.107 (1), p.205-221

2020

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A Bayesian survival treed hazards model using latent Gaussian processes

Biometrics, 2024-01, Vol.80 (1)

2024

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An Active Learning-based Approach for Hosting Capacity Analysis in Distribution Systems

IEEE transactions on smart grid, 2024-01, Vol.15 (1), p.1-1

2024

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Bayesian Copula Density Deconvolution for Zero-Inflated Data in Nutritional Epidemiology

Journal of the American Statistical Association, 2021-07, Vol.116 (535), p.1075-1087

2021

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Bayesian data integration and variable selection for pan‐cancer survival prediction using protein expression data

Biometrics, 2020-03, Vol.76 (1), p.316-325

2020

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Quantile Graphical Models: Bayesian Approaches

Journal of machine learning research, 2020-01, Vol.21 (79), p.1-47

2020

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Bayesian structural equation modeling in multiple omics data with application to circadian genes

Bioinformatics, 2020-07, Vol.36 (13), p.3951-3958

2020

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Bayesian graph selection consistency under model misspecification

Bernoulli : official journal of the Bernoulli Society for Mathematical Statistics and Probability, 2021-02, Vol.27 (1), p.637-672

2021

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Multiple Omics Data Integration to Identify Long Noncoding RNA Responsible for Breast Cancer–Related Mortality

Cancer informatics, 2019, Vol.18, p.1176935119871933-1176935119871933

2019

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Bayesian and variational Bayesian approaches for flows in heterogeneous random media

Journal of computational physics, 2017-09, Vol.345 (C), p.275-293

2017

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A Bayesian Hierarchical Model to Understand the Effect of Terrain on Wind Turbine Power Curves

IEEE transactions on sustainable energy, 2024-04, Vol.15 (2), p.1127-1137

2024

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Adaptive Bayesian variable clustering via structural learning of breast cancer data

Genetic epidemiology, 2023-02, Vol.47 (1), p.95-104

2023

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Bayesian Semiparametric Multivariate Density Deconvolution

Journal of the American Statistical Association, 2018-01, Vol.113 (521), p.401-416

2018

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A Powerful Bayesian Test for Equality of Means in High Dimensions

Journal of the American Statistical Association, 2018-01, Vol.113 (524), p.1733-1741

2018

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Integration of survival and binary data for variable selection and prediction: a Bayesian approach

Journal of the Royal Statistical Society Series C: Applied Statistics, 2019-11, Vol.68 (5), p.1577-1595

2019

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Efficient Bayesian Regularization for Graphical Model Selection

Bayesian analysis, 2019-06, Vol.14 (2), p.449-476

2019

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Circadian gene selection for time-to-event phenotype by integrating CNV and RNAseq data

Chemometrics and intelligent laboratory systems, 2021-05, Vol.212, p.104276, Article 104276

2021

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Gene selection using a two-level hierarchical Bayesian model

Bioinformatics, 2004-12, Vol.20 (18), p.3423-3430

2004

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Joint Bayesian estimation of cell dependence and gene associations in spatially resolved transcriptomic data

Bayesian variable selection with graphical structure learning: Applications in integrative genomics

Bayesian optimization with adaptive surrogate models for automated experimental design

Fast sampling with Gaussian scale mixture priors in high-dimensional regression

Gene selection: a Bayesian variable selection approach

Covariate-Assisted Bayesian Graph Learning for Heterogeneous Data

Joint High‐Dimensional Bayesian Variable and Covariance Selection with an Application to eQTL Analysis

Bayesian sparse multiple regression for simultaneous rank reduction and variable selection

A Bayesian survival treed hazards model using latent Gaussian processes

An Active Learning-based Approach for Hosting Capacity Analysis in Distribution Systems

Bayesian Copula Density Deconvolution for Zero-Inflated Data in Nutritional Epidemiology

Bayesian data integration and variable selection for pan‐cancer survival prediction using protein expression data

Quantile Graphical Models: Bayesian Approaches

Bayesian structural equation modeling in multiple omics data with application to circadian genes

Bayesian graph selection consistency under model misspecification

Multiple Omics Data Integration to Identify Long Noncoding RNA Responsible for Breast Cancer–Related Mortality

Bayesian and variational Bayesian approaches for flows in heterogeneous random media

A Bayesian Hierarchical Model to Understand the Effect of Terrain on Wind Turbine Power Curves

Adaptive Bayesian variable clustering via structural learning of breast cancer data

Bayesian Semiparametric Multivariate Density Deconvolution

A Powerful Bayesian Test for Equality of Means in High Dimensions

Integration of survival and binary data for variable selection and prediction: a Bayesian approach

Efficient Bayesian Regularization for Graphical Model Selection

Circadian gene selection for time-to-event phenotype by integrating CNV and RNAseq data

Gene selection using a two-level hierarchical Bayesian model

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