Artículos con órdenes de acceso público - Peter CarbonettoMás información
Disponibles en algún lugar: 22
Polygenic modeling with Bayesian sparse linear mixed models
X Zhou, P Carbonetto, M Stephens
PLoS genetics 9 (2), e1003264, 2013
Órdenes: US National Institutes of Health
A simple new approach to variable selection in regression, with application to genetic fine mapping
G Wang, A Sarkar, P Carbonetto, M Stephens
Journal of the Royal Statistical Society Series B: Statistical Methodology …, 2020
Órdenes: US National Institutes of Health, Gordon and Betty Moore Foundation
Flexible statistical methods for estimating and testing effects in genomic studies with multiple conditions
SM Urbut, G Wang, P Carbonetto, M Stephens
Nature genetics 51 (1), 187-195, 2019
Órdenes: US National Institutes of Health, Gordon and Betty Moore Foundation
Scalable variational inference for Bayesian variable selection in regression, and its accuracy in genetic association studies
P Carbonetto, M Stephens
Órdenes: US National Institutes of Health
Genetic background limits generalizability of genotype-phenotype relationships
L Sittig, P Carbonetto, K Engel, K Krauss, C Barrios-Camacho, A Palmer
Neuron 91, 1253-1259, 2016
Órdenes: US National Institutes of Health
Fine-mapping from summary data with the “Sum of Single Effects” model
Y Zou, P Carbonetto, G Wang, M Stephens
PLoS genetics 18 (7), e1010299, 2022
Órdenes: US National Institutes of Health, Gordon and Betty Moore Foundation, UK …
Genome-wide association study of behavioral, physiological and gene expression traits in outbred CFW mice
CC Parker, S Gopalakrishnan, P Carbonetto, NM Gonzales, E Leung, ...
Nature Genetics, 2016
Órdenes: US National Institutes of Health, Howard Hughes Medical Institute, Human …
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 …
P Carbonetto, M Stephens
PLoS genetics 9 (10), e1003770, 2013
Órdenes: US National Institutes of Health
Mapping of Craniofacial Traits in Outbred Mice Identifies Major Developmental Genes Involved in Shape Determination
LF Pallares, P Carbonetto, S Gopalakrishnan, CC Parker, ...
PLoS Genetics 11 (11), e1005607, 2015
Órdenes: US National Institutes of Health, European Commission, Human Frontier …
Creating and sharing reproducible research code the workflowr way
JD Blischak, P Carbonetto, M Stephens
F1000Research 8, 1749, 2019
Órdenes: Gordon and Betty Moore Foundation
High-resolution genetic mapping of complex traits from a combined analysis of F2 and advanced intercross mice
C Parker, P Carbonetto, G Sokoloff, Y Park, M Abney, A Palmer
Genetics 198, 103-116, 2014
Órdenes: US National Institutes of Health
A fast algorithm for maximum likelihood estimation of mixture proportions using sequential quadratic programming
Y Kim, P Carbonetto, M Stephens, M Anitescu
Journal of Computational and Graphical Statistics, 2019
Órdenes: US National Science Foundation, US Department of Energy, US National …
A pairwise cytokine code explains the organism-wide response to sepsis
M Takahama, A Patil, G Richey, D Cipurko, K Johnson, P Carbonetto, ...
Nature Immunology 25 (2), 226-239, 2024
Órdenes: US National Science Foundation, US National Institutes of Health, Chan …
Flexible signal denoising via flexible empirical Bayes shrinkage
Z Xing, P Carbonetto, M Stephens
https://arxiv.org/abs/1605.07787, 2019
Órdenes: US National Institutes of Health
A flexible empirical Bayes approach to multiple linear regression and connections with penalized regression
Y Kim, W Wang, P Carbonetto, M Stephens
Journal of Machine Learning Research 25 (185), 1-59, 2024
Órdenes: US National Institutes of Health
Discovery and refinement of muscle weight QTLs in B6 x D2 advanced intercross mice
P Carbonetto, R Cheng, J Gyekis, C Parker, D Blizard, A Palmer, ...
Physiological Genomics 46, 571-582, 2014
Órdenes: US National Institutes of Health
GoM DE: interpreting structure in sequence count data with differential expression analysis allowing for grades of membership
P Carbonetto, K Luo, A Sarkar, A Hung, K Tayeb, S Pott, M Stephens
Genome Biology 24 (1), 236, 2023
Órdenes: US National Institutes of Health
Fine-mapping studies distinguish genetic risks for childhood- and adult-onset asthma in the HLA region
SM Clay, N Schoettler, AM Goldstein, P Carbonetto, M Dapas, MC Altman, ...
Genomic Medicine 14, 55, 2022
Órdenes: US National Institutes of Health, UK Medical Research Council
Integration of genome-wide association and extant brain expression QTL identifies candidate genes influencing prepulse inhibition in inbred F1 mice
AP Laura Sittig, Peter Carbonetto, Kyle Engel, Kate Krauss
Genes, Brain and Behavior 15, 260-270, 2016
Órdenes: US National Institutes of Health
A flexible empirical Bayes approach to multivariate multiple regression, and its improved accuracy in predicting multi-tissue gene expression from genotypes
F Morgante, P Carbonetto, G Wang, Y Zou, A Sarkar, M Stephens
PLoS genetics 19 (7), e1010539, 2023
Órdenes: US National Institutes of Health
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