SC.MEB: Spatial Clustering with Hidden Markov Random Field using Empirical Bayes (original) (raw)
Spatial clustering with hidden markov random field fitted via EM algorithm, details of which can be found in Yi Yang (2021) <doi:10.1101/2021.06.05.447181>. It is not only computationally efficient and scalable to the sample size increment, but also is capable of choosing the smoothness parameter and the number of clusters as well.
| Version: | 1.1 |
|---|---|
| Depends: | mclust, parallel, ggplot2, Matrix, R (≥ 3.5) |
| Imports: | Rcpp (≥ 1.0.6), SingleCellExperiment, purrr, BiocSingular, SummarizedExperiment, scater, scran, S4Vectors |
| LinkingTo: | Rcpp, RcppArmadillo |
| Suggests: | knitr, rmarkdown |
| Published: | 2021-10-08 |
| DOI: | 10.32614/CRAN.package.SC.MEB |
| Author: | Yi Yang [aut, cre], Xingjie Shi [aut], Jin Liu [aut] |
| Maintainer: | Yi Yang |
| License: | GPL-3 |
| NeedsCompilation: | yes |
| Materials: | README |
| CRAN checks: | SC.MEB results [issues need fixing before 2025-05-13] |
Documentation:
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