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.
|Author||Rebekka Wegmann [aut], Marilisa Neri [aut, cre]|
|Maintainer||Marilisa Neri <firstname.lastname@example.org>|
|Package repository||View on GitHub|
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