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pro vyhledávání: '"Carbonetto, P."'
Variational empirical Bayes (VEB) methods provide a practically attractive approach to fitting large, sparse, multiple regression models. These methods usually use coordinate ascent to optimize the variational objective function, an approach known as
Externí odkaz:
http://arxiv.org/abs/2411.14570
Estimating the sharing of genetic effects across different conditions is important to many statistical analyses of genomic data. The patterns of sharing arising from these data are often highly heterogeneous. To flexibly model these heterogeneous sha
Externí odkaz:
http://arxiv.org/abs/2406.08784
Autor:
Liu, Yusha, Carbonetto, Peter, Takahama, Michihiro, Gruenbaum, Adam, Xie, Dongyue, Chevrier, Nicolas, Stephens, Matthew
Detecting differences in gene expression is an important part of single-cell RNA sequencing experiments, and many statistical methods have been developed for this aim. Most differential expression analyses focus on comparing expression between two gr
Externí odkaz:
http://arxiv.org/abs/2210.00697
We introduce a new empirical Bayes approach for large-scale multiple linear regression. Our approach combines two key ideas: (i) the use of flexible "adaptive shrinkage" priors, which approximate the nonparametric family of scale mixture of normal di
Externí odkaz:
http://arxiv.org/abs/2208.10910
The empirical Bayes normal means (EBNM) model is important to many areas of statistics, including (but not limited to) multiple testing, wavelet denoising, and gene expression analysis. There are several existing software packages that can fit EBNM m
Externí odkaz:
http://arxiv.org/abs/2110.00152
Autor:
Peter Carbonetto, Kaixuan Luo, Abhishek Sarkar, Anthony Hung, Karl Tayeb, Sebastian Pott, Matthew Stephens
Publikováno v:
Genome Biology, Vol 24, Iss 1, Pp 1-37 (2023)
Abstract Parts-based representations, such as non-negative matrix factorization and topic modeling, have been used to identify structure from single-cell sequencing data sets, in particular structure that is not as well captured by clustering or othe
Externí odkaz:
https://doaj.org/article/4270b099569c4995a25bdf1893936866
We report on the potential for using algorithms for non-negative matrix factorization (NMF) to improve parameter estimation in topic models. While several papers have studied connections between NMF and topic models, none have suggested leveraging th
Externí odkaz:
http://arxiv.org/abs/2105.13440
Autor:
Marta Barba, Marion Toquet, Empar García-Roselló, Jesús Gomis, Juan J. Quereda, Pedro González-Torres, Belén Carbonetto, Ángel Gómez-Martín
Publikováno v:
Frontiers in Microbiology, Vol 14 (2024)
The vaginal microbiota plays a key role in animals’ health. Understanding its diversity and composition and associated changes occurring through the reproductive cycle represents valuable knowledge to disclose the mechanisms leading to dysbiosis an
Externí odkaz:
https://doaj.org/article/a23adb682baa4927a41f33e80912d075
Autor:
Lipovetzky, José, Garcia-Inza, Mariano, Cañete, Macarena Rodríguez, Redin, Gabriel, Carbonetto, Sebastián, Echarri, Martín, Golmar, Federico, Marlasca, Fernando Gomez, Barella, Mariano, Sanca, Gabriel A., Levy, Pablo, Faigón, Adrián
We present the results after 2.5 years in or-bit of Total Ionizing Dose (TID) measurements done using Metal Oxide Semiconductor (MOS) dosimeters on the MeMOSat board. The MeMOSat board was launched on July 19th 2014 at the BugSat-1 "Tita" microsatell
Externí odkaz:
http://arxiv.org/abs/2007.00143
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