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Allows for identification of cell sub-populations within tissue samples using Bayesian multivariate mixture models with spatial random effects to account for a wide range of spatial gene expression patterns, as described in Allen et. al, 2021 doi:10.1101/2021.06.23.449615. Bayesian inference is conducted using efficient Gibbs sampling implemented using 'Rcpp'.
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