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Peter Carbonetto

Showing results (1-10 of 36) with videos related to

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Plos Genetics|October 8, 2013
Integrated enrichment analysis of variants and pathways in genome-wide association studies indicates central role for IL-2 signaling genes in type 1 diabetes, and cytokine signaling genes in Crohn's diseasePeter Carbonetto, Matthew Stephens
Biorxiv : the Preprint Server for Biology|April 8, 2024
Accelerated dimensionality reduction of single-cell RNA sequencing data with fastglmpcaEric Weine, Peter Carbonetto, Matthew Stephens
Journal of Statistical Software|June 29, 2026
ebnm: An R Package for Solving the Empirical Bayes Normal Means Problem Using a Variety of Prior FamiliesJason Willwerscheid, Peter Carbonetto, Matthew Stephens
Bioinformatics (Oxford, England)|August 7, 2024
Accelerated dimensionality reduction of single-cell RNA sequencing data with fastglmpcaEric Weine, Peter Carbonetto, Matthew Stephens
Journal of Machine Learning Research : JMLR|December 27, 2023
Flexible Signal Denoising via Flexible Empirical Bayes ShrinkageZhengrong Xing, Peter Carbonetto, Matthew Stephens
Plos Genetics|February 15, 2013
Polygenic modeling with bayesian sparse linear mixed modelsXiang Zhou, Peter Carbonetto, Matthew Stephens
F1000Research|November 15, 2019
Creating and sharing reproducible research code the workflowr wayJohn D Blischak, Peter Carbonetto, Matthew Stephens
Statistics and Computing|May 8, 2026
Non-negative matrix factorization algorithms generally improve topic model fitsPeter Carbonetto, Abhishek Sarkar, Zihao Wang, et al.
Plos Genetics|July 19, 2022
Fine-mapping from summary data with the "Sum of Single Effects" modelYuxin Zou, Peter Carbonetto, Gao Wang, et al.
Journal of Computational and Graphical Statistics : a Joint Publication of American Statistical Association, Institute of Mathematical Statistics, Interface Foundation of North America|March 25, 2021
A Fast Algorithm for Maximum Likelihood Estimation of Mixture Proportions Using Sequential Quadratic ProgrammingYoungseok Kim, Peter Carbonetto, Matthew Stephens, et al.
Pageof 4

Showing results (1-10 of 36) with videos related to

Sort By:
Pageof 4
Plos Genetics|October 8, 2013
Integrated enrichment analysis of variants and pathways in genome-wide association studies indicates central role for IL-2 signaling genes in type 1 diabetes, and cytokine signaling genes in Crohn's diseasePeter Carbonetto, Matthew Stephens
Biorxiv : the Preprint Server for Biology|April 8, 2024
Accelerated dimensionality reduction of single-cell RNA sequencing data with fastglmpcaEric Weine, Peter Carbonetto, Matthew Stephens
Journal of Statistical Software|June 29, 2026
ebnm: An R Package for Solving the Empirical Bayes Normal Means Problem Using a Variety of Prior FamiliesJason Willwerscheid, Peter Carbonetto, Matthew Stephens
Bioinformatics (Oxford, England)|August 7, 2024
Accelerated dimensionality reduction of single-cell RNA sequencing data with fastglmpcaEric Weine, Peter Carbonetto, Matthew Stephens
Journal of Machine Learning Research : JMLR|December 27, 2023
Flexible Signal Denoising via Flexible Empirical Bayes ShrinkageZhengrong Xing, Peter Carbonetto, Matthew Stephens
Plos Genetics|February 15, 2013
Polygenic modeling with bayesian sparse linear mixed modelsXiang Zhou, Peter Carbonetto, Matthew Stephens
F1000Research|November 15, 2019
Creating and sharing reproducible research code the workflowr wayJohn D Blischak, Peter Carbonetto, Matthew Stephens
Statistics and Computing|May 8, 2026
Non-negative matrix factorization algorithms generally improve topic model fitsPeter Carbonetto, Abhishek Sarkar, Zihao Wang, et al.
Plos Genetics|July 19, 2022
Fine-mapping from summary data with the "Sum of Single Effects" modelYuxin Zou, Peter Carbonetto, Gao Wang, et al.
Journal of Computational and Graphical Statistics : a Joint Publication of American Statistical Association, Institute of Mathematical Statistics, Interface Foundation of North America|March 25, 2021
A Fast Algorithm for Maximum Likelihood Estimation of Mixture Proportions Using Sequential Quadratic ProgrammingYoungseok Kim, Peter Carbonetto, Matthew Stephens, et al.
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