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Unraveling the timeline of gene expression: A pseudotemporal trajectory analysis of single-cell RNA sequencing data

2023-11-10

Abstract excerpt

<h4>Background: </h4> Single-cell RNA sequencing (scRNA-seq) technologies have rapidly developed in recent years. The droplet-based single cell platforms enable the profiling of gene expression in tens of thousands of cells per sample. The goal of a typical scRNA-seq analysis is to identify different cell subpopulations and their respective marker genes. Additionally, trajectory analysis can be used to infer the d...

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Literature Corpus work: b274c563-fe1d-5044-b02e-f96d0d4c6b28
DOI: 10.12688/f1000research.134078.2

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