Package: MSC
Title: Single-cell multi-scale clustering
Version: 0.4
Authors@R: person("Won-Min", "Song", , "won-min.song@mssm.edu", role = c("aut", "cre"))
Description: Given a cell-cell similarity measure, MSC package calculated locally embedded network (LEN) amongst the cells, and perform top-down iterative clustering to identify multi-scale clustering structures in single-cell transcriptome.
License: GPL (>= 3)
Imports: Rcpp (>= 1.0.11), Seurat (>= 4.1.1), SeuratObject (>= 5.0.2), SingleCellExperiment (>= 1.18.0), scran (>= 1.24.0), DESeq2 (>= 1.36.0), MEGENA (>= 1.5.2), doParallel (>= 1.0.17), igraph (>= 1.4.2), rpart (>= 4.1.16), Matrix (>= 1.5-1), Matrix.utils (>= 0.9.8), RColorBrewer (>= 1.1-3), scater (>= 1.24.0), ggrepel (>= 0.9.3), ggplot2 (>= 3.4.2), umap (>= 0.2.8.0), scatterpie (>= 0.1.7), ggraph (>= 2.0.5), RColorBrewer (>= 1.1-3), Rtsne (>= 0.17), foreach (>= 1.5.2), scuttle (>= 1.6.3), SummarizedExperiment (>= 1.26.1), rsvd (>= 1.0.5)
biocViews: 
Depends: R (>= 4.2.0)
Suggests: ACAT (>= 0.91), cowplot (>= 1.1.3)
Encoding: UTF-8
Roxygen: list(markdown = TRUE)
RoxygenNote: 7.2.1
LazyData: true
