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Fig. 1 | BMC Bioinformatics

Fig. 1

From: scConsensus: combining supervised and unsupervised clustering for cell type identification in single-cell RNA sequencing data

Fig. 1

The scConsensus workflow. a The scConsensus workflow considers two independent cell cluster annotations obtained from any pair of supervised and unsupervised clustering methods. b A contingency table is generated to elucidate the overlap of the annotations on the single cell level. A consensus labeling is generated using either an automated method or manual curation by the user. c DE genes are computed between all pairs of consensus clusters. Those DE genes are used to re-cluster the data. The refined clusters thus obtained can be annotated with cell type labels

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BMC Bioinformatics

ISSN: 1471-2105

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