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Peter J. Mueller

Proteome-wide identification of HSP70/HSC70 chaperone clients in human cells
2020 · Seung Woo Ryu, Rose Stewart, et al. · PLoS Biology · 80
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The Dependent Dirichlet Process and Related Models
2022 · Fernando A. Quintana, Peter Müller, et al. · Statistical Science · 79
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A Bayesian Analysis of the Cepheid Distance Scale
2003 · Thomas G. Barnes III, W. H. Jefferys, et al. · The Astrophysical Journal · 51
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Data Acquisition and Preprocessing in Studies on Humans: What is Not Taught in Statistics Classes?
2013 · Yeyi Zhu, Ladia M. Hernandez, et al. · The American Statistician · 22
Nonparametric Bayesian inference in applications
2017 · Peter Müeller, Fernando A. Quintana, et al. · Statistical Methods & Applications · 20
Stochastic Search Gene Suggestion: A Bayesian Hierarchical Model for Gene Mapping
2005 · Michael D. Swartz, Marek Kimmel, et al. · Biometrics · 20
Correlation between biomarkers and treatment outcomes in diverse cancers: a systematic review and meta-analysis of phase I and II immunotherapy clinical trials
2023 · Elena Fountzilas, Henry Hiep Vo, et al. · European Journal of Cancer · 19
Bayesian nonparametric statistics: A new toolkit for discovery in cancer research
2017 · Peter F. Thall, Peter Mueller, et al. · Pharmaceutical Statistics · 8
BM-BC: a Bayesian method of base calling for Solexa sequence data
2012 · Yuan Ji, Riten Mitra, et al. · BMC Bioinformatics · 8
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Separate Exchangeability as Modeling Principle in Bayesian Nonparametrics
2021 · Rebaudo, Giovanni, Lin, Qiaohui, et al. · arXiv (Cornell University) · 7
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Bayesian Inference for Tumor Subclones Accounting for Sequencing and Structural Variants
2014 · Lee, Juhee, Mueller, Peter, et al. · arXiv (Cornell University) · 5
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Dataset of phase I and II immunotherapy clinical trials used for a meta-analysis to assess the role of biomarkers in treatment outcomes in diverse cancers
2023 · Elena Fountzilas, Henry Hiep Vo, et al. · Data in Brief · 4
Bayesian Double Feature Allocation for Phenotyping with Electronic Health Records
2018 · Ni, Yang, Mueller, Peter, et al. · arXiv (Cornell University) · 4
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Sparse Bayesian graphical models for RPPA time course data
2012 · Riten Mitra, Peter Mueller, et al. · IEEE International Workshop on Genomic Signal Processing and Statistics · 4
Erratum: “A Bayesian Analysis of the Cepheid Distance Scale” (ApJ, 592, 539 [2003])
2004 · Thomas G. Barnes III, W. H. Jefferys, et al. · The Astrophysical Journal · 4
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Bayesian Scalable Precision Factor Analysis for Massive Sparse Gaussian Graphical Models
2021 · Chandra, Noirrit Kiran, Mueller, Peter, et al. · arXiv (Cornell University) · 3
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Predictive Models for Characterizing Disparities in Exclusive Breastfeeding Performance in a Multi-ethnic Population in the US
2015 · Yeyi Zhu, Ladia M. Hernandez, et al. · Maternal and Child Health Journal · 2
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Consensus Monte Carlo for Random Subsets using Shared Anchors
2019 · Ni, Yang, Ji, Yuan, et al. · arXiv (Cornell University) · 1
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A Bayesian Nonparametric Utility-Based Design for Comparing Treatments to Resolve Air Leaks After Lung Surgery
2015 · Yanxun Xu, Peter F. Thall, et al. · arXiv (Cornell University) · 1
Modeling Covariates with Nonparametric Bayesian Methods
2010 · Alejandro Cruz-Marcelo, Gary R. Rosner, et al. · SSRN Electronic Journal · 1
Regression with Variable Dimension Covariates
2023 · Peter Mueller, Fernando Andrés Quintana, et al. · Sankhya A
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MetaAnalysisDataIO (3).xlsx
2023 · Fountzilas, Elena, Tsimberidou, Apostolia M., et al. · Figshare
Biomarkers and Outcomes in Diverse Cancers: Meta-Analysis of Early Phase Immuno-Oncology Trials
2022 · Elena Fountzilas, Henry Hiep Vo, et al. · Research Square
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Bayesian Precision Factor Analysis for High-dimensional Sparse Gaussian Graphical Models
2021 · Noirrit Kiran Chandra, Peter Müeller, et al. · arXiv (Cornell University)
Prediction in the Presence of Missing Covariates
2019 · Garritt L. Page, Fernando A. Quintana, et al. · arXiv (Cornell University)
Works count: 29
Citation count: 343
H-index: 8
I10-index: 7
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