An Empirical Bayes Method for Chi-Squared Data
Sign Up to like & getrecommendations! Published in 2020 at "Journal of the American Statistical Association"
DOI: 10.1080/01621459.2020.1777137
Abstract: Abstract In a thought-provoking paper, Efron investigated the merit and limitation of an empirical Bayes method to correct selection bias based on Tweedie’s formula first reported in the study by Robbins. The exceptional virtue of… read more here.
Keywords: squared data; bayes method; empirical bayes; tweedie formula ... See more keywords
An empirical Bayes method for differential expression analysis of single cells with deep generative models
Sign Up to like & getrecommendations! Published in 2022 at "Proceedings of the National Academy of Sciences of the United States of America"
DOI: 10.1101/2022.05.27.493625
Abstract: Detecting differentially expressed genes is important for characterizing subpopulations of cells. In scRNA-seq data, however, nuisance variation due to technical factors like sequencing depth and RNA capture efficiency obscures the underlying biological signal. Deep generative… read more here.
Keywords: bayes method; generative models; expression; empirical bayes ... See more keywords
The Generalized Bayes Method for High-Dimensional Data Recognition with Applications to Audio Signal Recognition
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DOI: 10.3390/sym13010019
Abstract: High-dimensional data recognition problem based on the Gaussian Mixture model has useful applications in many area, such as audio signal recognition, image analysis, and biological evolution. The expectation-maximization algorithm is a popular approach to the… read more here.
Keywords: high dimensional; data recognition; generalized bayes; recognition ... See more keywords