DensityPath: a level-set algorithm to visualize and reconstruct cell developmental trajectories for large-scale single-cell RNAseq data

Abstract excerpt

Cell fates are determined by transition-states which occur during complex biological pro-cesses such as proliferation and differentiation. The advance in single-cell RNA sequencing (scRNAseq) provides the snapshots of single cell transcriptomes, thus offering an essential opportunity to study such complex biological processes. Here, we introduce a novel algorithm, DensityPath, which visualizes and reconstructs the...

Topics

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• Algorithms
• Cancer Cells and Metastasis
• Neonatal Respiratory Health Research
• Phenotype
• Single-Cell Analysis
• Single-cell and spatial transcriptomics
• Single-Cell Gene Expression Analysis

Identifiers and source

Literature Corpus work

291f18d5-cea0-5bff-992f-ec0d743a09a8

DOI

10.1101/276311