Back to search

Article

TimeFlow: a density-driven pseudotime method for flow cytometry data analysis

2025-02-21

Abstract excerpt

Pseudotime methods order cells undergoing differentiation from the least to most differentiated. We developed TimeFlow, a new method for computing pseudotime in multi-dimensional flow cytometry datasets. TimeFlow tracks the differentiation path of each cell on a graph by following smooth changes in the cell population density. To compute the probability density function of the cells, it uses a normalizing flow mod...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
d47d21f1-cd59-52ce-8540-87ee42b7de80
DOI
10.1101/2025.02.16.638508
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
TimeFlow: a density-driven pseudotime method for flow cytometry data analysisDOI 10.1101/2025.02.16.638508
Select a neighboring publication to make it the new centre.