CIARA (Cluster Independent Algorithm for the identification of markers of RAre cell types) is an R package that identifies potential markers of rare cell types looking at genes whose expression is confined in small regions of the expression space
SCISSORS builds upon the Louvain graph-based clustering in Seurat by optimizing parameter selection when reclustering cell groups, with an eye towards identifying rare cell types.
Rare cells detection using gap information between minor cluster and neighboring clusters
A scalable unsupervised learning of scRNAseq data detects rare cells through integration of structure-preserving embedding, clustering and outlier detection
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