ArticleThe annals of applied statistics2023
A HORSESHOE MIXTURE MODEL FOR BAYESIAN SCREENING WITH AN APPLICATION TO LIGHT SHEET FLUORESCENCE MICROSCOPY IN BRAIN IMAGING.
Article in The annals of applied statistics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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Who cites it
3 citing papers in PubMed.
- Bayesian mapping of mortality clusters.Biostatistics (Oxford, England) · 2025Article
- Spatially Informed Nonnegative Matrix Trifactorization for Coclustering Mass Spectrometry Data.Biometrical journal. Biometrische Zeitschrift · 2025Article
- A HORSESHOE MIXTURE MODEL FOR BAYESIAN SCREENING WITH AN APPLICATION TO LIGHT SHEET FLUORESCENCE MICROSCOPY IN BRAIN IMAGING.The annals of applied statistics · 2023Article
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Authors and funding
7 authors.
Funding
Abstract
In this paper we focus on identifying differentially activated brain regions using a light sheet fluorescence microscopy-a recently developed technique for whole-brain imaging. Most existing statistical methods solve this problem by partitioning the brain regions into two classes: significantly and nonsignificantly activated. However, for the brain imaging problem at the center of our study, such binary grouping may provide overly simplistic discoveries by filtering out weak but important signals that are typically adulterated by the noise present in the data. To overcome this limitation, we introduce a new Bayesian approach that allows classifying the brain regions into several tiers with varying degrees of
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