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# CellSIUS: Cell Subtype Identification from Upregulated gene Sets | ||
CellSIUS is an R package enabling 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. | ||
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## Reference | ||
Wegmann *et Al.*, **CellSIUS provides sensitive and specific detection of rare cell populations from complex single cell RNA-seq data**, Genome Biology, 2019 [accepted] | ||
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