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Bayesian hierarchical modeling of spatial single-cell protein data

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FridleyLab/BTIME

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BTIME

The package BTIME uses Bayesian hierarchical models to model immune cell populations and detect associations with a predictor variable. This models each cell type simultaneously while incorporating potential relationships between the cell populations. The relationship utilized in this model is user dependent based on the function inputs. This package utilizes rjags and runjags packages to run Gibbs sampling for posterior estimation.

Back to BTIME Repo: https://github.com/FridleyLab/BTIME

Installation

Before running this package, the JAGS (Just Another Gibbs Sampler) program needs to be installed. You can download from https://sourceforge.net/projects/mcmc-jags/files/.

Using BTIME

TUTORIAL: https://fridleylab.github.io/BTIME/

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Bayesian hierarchical modeling of spatial single-cell protein data

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