Peter Carbonetto
Peter Carbonetto
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Zitiert von
Zitiert von
Polygenic modeling with Bayesian sparse linear mixed models
X Zhou, P Carbonetto, M Stephens
PLoS genetics 9 (2), e1003264, 2013
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
A statistical model for general contextual object recognition
P Carbonetto, N de Freitas, K Barnard
8th European Conference on Computer Vision, 350-362, 2004
Scalable variational inference for Bayesian variable selection in regression, and its accuracy in genetic association studies
P Carbonetto, M Stephens
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
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
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
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
Clustering of 770,000 genomes reveals post-colonial population structure of North America
E Han, P Carbonetto, RE Curtis, Y Wang, JM Granka, J Byrnes, K Noto, ...
Nature Communications 8, 14238, 2017
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
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
Learning to recognize objects with little supervision
P Carbonetto, G Dorkó, C Schmid, H Kück, N De Freitas
International Journal of Computer Vision 77, 219-237, 2008
Creating and sharing reproducible research code the workflowr way
JD Blischak, P Carbonetto, M Stephens
F1000Research 8, 2019
Accurate genomic prediction of Coffea canephora in multiple environments using whole-genome statistical models
LFV Ferrão, RG Ferrão, MAG Ferrão, A Fonseca, P Carbonetto, ...
Heredity 122 (3), 261-275, 2019
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
Discovering population structure from patterns of identity-by-descent
E Han, RE Curtis, P Carbonetto
US Patent 10,223,498, 2019
Bayesian feature weighting for unsupervised learning, with application to object recognition
P Carbonetto, N De Freitas, P Gustafson, N Thompson
Artificial Intelligence and Statistics, 2003
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
Nonparametric Bayesian logic
P Carbonetto, J Kisynski, N de Freitas, DL Poole
21st Conference on Uncertainty in Artificial Intelligence, 85-93, 2005
A constrained semi-supervised learning approach to data association
H Kück, P Carbonetto, N de Freitas
8th European Conference on Computer Vision, 1-12, 2004
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