A novel spatially dependent shrinkage prior for Poisson regression improves region selection and prediction accuracy for count data with spatially correlated covariates.
Biometrika , volume=
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JASPER is a new joint Bayesian regression model for spatial transcriptomics that accounts for correlations between genes to better identify spatially varying genes.
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Bayesian Region Selection and Prediction in Poisson Regression with Spatially Dependent Global-Local Shrinkage Prior
A novel spatially dependent shrinkage prior for Poisson regression improves region selection and prediction accuracy for count data with spatially correlated covariates.
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JASPER: Joint Bayesian Analysis of Spatial Expression via Regression
JASPER is a new joint Bayesian regression model for spatial transcriptomics that accounts for correlations between genes to better identify spatially varying genes.