CHETAH (CHaracterization of cEll Types Aided by Hierarchical classification) is an accurate, selective and fast scRNA-seq classifier. Classification is guided by a reference dataset, preferentially also a scRNA-seq dataset. By hierarchical clustering of the reference data, CHETAH creates a classification tree that enables a step-wise, top-to-bottom classification. Using a novel stopping rule, CHETAH classifies the input cells to the cell types of the references and to "intermediate types": more general classifications that ended in an intermediate node of the tree.
|Author||Jurrian de Kanter [aut, cre], Philip Lijnzaad [aut]|
|Bioconductor views||Classification Clustering RNASeq SingleCell|
|Maintainer||Jurrian de Kanter <firstname.lastname@example.org>|
|Package repository||View on Bioconductor|
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