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spruce: Spatial Random Effects Clustering of Single Cell Data
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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Package details |
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| Author | Carter Allen [aut, cre] (<https://orcid.org/0000-0001-6937-7234>), Dongjun Chung [aut] |
| Maintainer | Carter Allen <carter.allen12@gmail.com> |
| License | GPL (>= 2) |
| Version | 0.99.1 |
| Package repository | View on CRAN |
| Installation |
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