CellSIUS enables the identification and characterization of (rare) cell sub-populations from complex scRNA-seq datasets: it takes as input expression values of N cells grouped into M(>1) clusters. Within each cluster, genes with a bimodal distribution are selected and only genes with cluster-specific expression are retained. Among these candidate marker genes, sets with correlated expression patterns are identified by graph-based clustering. Finally, cells are assigned to subgroups based on their average expression of each gene set. The CellSIUS algorithm output provides the rare/ sub cell types by cell indices and their transcriptomic signatures.
Package details |
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Author | Rebekka Wegmann [aut], Marilisa Neri [aut, cre] |
Maintainer | Marilisa Neri <marilisa.neri@novartis.com> |
License | file LICENSE.txt |
Version | 1.0.0 |
Package repository | View on GitHub |
Installation |
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