VeTra: a tool for trajectory inference based on RNA velocity
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DOI: 10.1093/bioinformatics/btab364
Abstract: Abstract Motivation Trajectory inference (TI) for single cell RNA sequencing (scRNAseq) data is a powerful approach to interpret dynamic cellular processes such as cell cycle and development. Still, however, accurate inference of trajectory is challenging.… read more here.
Keywords: rna velocity; trajectory; based rna; trajectory inference ... See more keywords
Hubness reduction improves clustering and trajectory inference in single-cell transcriptomic data
Sign Up to like & getrecommendations! 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