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Hubness reduction improves clustering and trajectory inference in single-cell transcriptomic data

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1 Published in 2022 at "Bioinformatics"

DOI: 10.1093/bioinformatics/btab795

Abstract: MOTIVATION Single-cell RNA-seq (scRNAseq) datasets are characterized by large ambient dimensionality, and their analyses can be affected by various manifestations of the dimensionality curse. One of these manifestations is the hubness phenomenon, i.e. existence of… read more here.

Keywords: dimensionality; trajectory inference; clustering trajectory; reduction ... See more keywords